victoria's secret presentation
DESCRIPTION
Victoria's Secret PresentationTRANSCRIPT
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Bienvenido a Mxico, el Secreto de VictoriaThe Expansion of Victorias Secret into MexicoAparna DonthiMan Tsun LeeBouphavanh MathouravongMarisol RiveraNicole Winkle
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Research OverviewPrimary ResearchIn-depth surveyIndustry AnalysisDemographicsPerfume IndustryUnited StatesMexicoCompany AnalysisSituation AnalysisSTPMarketing MixImplementation
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Executive SummaryDue to the declining market in the U.S. and growth in Mexico, Victorias Secret has the potential for a sizeable fragrance market in Mexico.Mexican consumers product values are congruent with that of the Victorias Secret brand image.Significant similarities and differences in marketing Victorias Secret brand in Mexico.
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Primary ResearchBilingual In-Depth InterviewParallel TranslationAdministered in Cuernavaca, MexicoGoals of the InterviewAwareness of Victorias Secret in MexicoProduct Perceptions/Knowledge4 PsCompetitor Awareness
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Situation AnalysisMexican ConsumersHighly rank service and priceHave short term view of products initial price means everythingReceptive to high quality products that are sold in smaller packages ImplicationsVictoria Secret offers great service/personal attention to customersOffers smaller, affordable product selection
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Situation Analysis (Cont.)CompanyHigh International AwarenessSales Growth 8.1% (2003) CompetitorsEstee Lauder, Avon, JC Penney, LancmeCollaboratorsCBS, MusiciansSupermodels Heidi Klum, Tyra Banks, Environmental Factors
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Perfume Industry AnalysisPerfume Industry in The United StatesPerfume industry to grow at declining rate over next five yearsDominated by female fragrances (2/3 of sales)Male fragrances accounts for 23.5% of market)ImplicationsDeclining U.S. marketSeek International GrowthMexican Perfume Market
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Mexican Demographics Male customers account for 70% of perfume sales despite the fact that mens fragrances represent 1/3 of the marketWomen between 40-50 years can afford to pay $40-$150 for a bottle of perfumeMexico City represents 52% of salesGuadalajara and Monterrey have large potential for sales
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Mexican MarketPerfume Industry in MexicoFemale Fragrances Experience Dramatic Growth2001 - $253 million2006 Predicted $348 million (37.5% increase)Many competitors (Satisfactory salessuggeststhere is still space for new launches)Black marketRelevant to price and distribution
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Mexican EconomyIncreased Purchases of Luxury CommoditiesEconomic recovery in 1996Increase in private consumptionInternational Companies are increasing their presence
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Victorias Secret (STP)PositioningFor the woman who wants to feel sexy, sophisticated, and ultra feminineSegmentationDoes not segment based on ageSegment based on productsvarious Victorias Secret brand fragrances appeal to different aspects of the Victorias Secret womanTargetingTarget how a woman feels, rather than her age, ethnicity, or other specific demographic
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VS Marketing ImplementationThey cross promote between their online and offline operations.360-degree brand connects all 3 selling channels (catalogs, the stores, and website)Sex appeal is portrayed through advertisements and promotions.
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Expansion into MexicoSegmentation and TargetingHighly populated/developed citiesMexico City, Monterrey, GuadalajaraProduct selections to appeal to different tastes and preferencesLow price-sensitivityPositioningProvide high quality product that delivers a flawless experienceCreates an image of sensuality and femininity
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Who and How Old?More women between the ages of 19-25 responded to the survey.
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InterestWomen are more apt to put their name on a mailing list to receive Victorias Secret catalogs than are men , thus it is important to target women with catalog advertising mediums.Women are interested in shopping at Victorias Secret more so than men. Tactics emphasizing femininity and sensuality would be appropriate.
Are you interested in receiving a catalog?Are you interested in shopping at a Victorias Secret store?
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Where and How?Brick and MortarProvide serviceProvide qualityDiscount storeBlack marketFocus on print adsDe-emphasize online ads
Chart4
0.667
0.0833333333
0.25
0
female
Preferred Female Shopping Location
Sheet
Notes
Output Created13-Feb-2004 15:19:19
Comments
InputData\\atropos\BigDog\Nichole data\nichole research project.sav
Filter
Weight
Split File
N of Rows in Working Data File17
Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing.
Cases UsedStatistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.
SyntaxCROSSTABS /TABLES=age gender marital cosmetics bodylotion perfume mixfreg diffbottle profile luxury BY newproduct image fragance quality price selection favstore paypurchase learn favorite victoria shopvic receiveing shopping buying education /FORM
ResourcesElapsed Time0:00:00
Dimensions Requested2
Cells Available116,508
Crosstabs
how old are you * where learn about new products
Crosstab
where learn about new productsTotal
TV advertisingfashion magazinesin store displays and samples
how old are you1-18 yearsCount0101
% within how old are you0.0%100.0%0.0%100.0%
% within where learn about new products0.0%9.1%0.0%5.9%
19 -25 yearsCount3519
% within how old are you33.3%55.6%11.1%100.0%
% within where learn about new products60.0%45.5%100.0%52.9%
26 - 35 yearsCount0303
% within how old are you0.0%100.0%0.0%100.0%
% within where learn about new products0.0%27.3%0.0%17.6%
36 - 45 yearsCount1203
% within how old are you33.3%66.7%0.0%100.0%
% within where learn about new products20.0%18.2%0.0%17.6%
46 + yearsCount1001
% within how old are you100.0%0.0%0.0%100.0%
% within where learn about new products20.0%0.0%0.0%5.9%
TotalCount511117
% within how old are you29.4%64.7%5.9%100.0%
% within where learn about new products100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square5.35880.719
Likelihood Ratio6.79880.559
Linear-by-Linear Association0.98810.320
N of Valid Cases17
a. 14 cells (93.3%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.2490.174-0.9940.336
Ordinal by OrdinalSpearman Correlation-0.1840.233-0.7260.479
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * importantance of image
Crosstab
importantance of imageTotal
extremely unimportantunimportantslightly unimportantneither important nor unimportant
how old are you1-18 yearsCount00011
% within how old are you0.0%0.0%0.0%100.0%100.0%
% within importantance of image0.0%0.0%0.0%20.0%5.9%
19 -25 yearsCount11529
% within how old are you11.1%11.1%55.6%22.2%100.0%
% within importantance of image20.0%100.0%83.3%40.0%52.9%
26 - 35 yearsCount20013
% within how old are you66.7%0.0%0.0%33.3%100.0%
% within importantance of image40.0%0.0%0.0%20.0%17.6%
36 - 45 yearsCount20103
% within how old are you66.7%0.0%33.3%0.0%100.0%
% within importantance of image40.0%0.0%16.7%0.0%17.6%
46 + yearsCount00011
% within how old are you0.0%0.0%0.0%100.0%100.0%
% within importantance of image0.0%0.0%0.0%20.0%5.9%
TotalCount516517
% within how old are you29.4%5.9%35.3%29.4%100.0%
% within importantance of image100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square12.593120.399
Likelihood Ratio14.318120.281
Linear-by-Linear Association0.98110.322
N of Valid Cases17
a. 20 cells (100.0%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.2480.265-0.9900.338
Ordinal by OrdinalSpearman Correlation-0.2900.266-1.1730.259
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * importantance of fragance
Crosstab
importantance of fraganceTotal
extremely important
how old are you1-18 yearsCount11
% within how old are you100.0%100.0%
% within importantance of fragance5.9%5.9%
19 -25 yearsCount99
% within how old are you100.0%100.0%
% within importantance of fragance52.9%52.9%
26 - 35 yearsCount33
% within how old are you100.0%100.0%
% within importantance of fragance17.6%17.6%
36 - 45 yearsCount33
% within how old are you100.0%100.0%
% within importantance of fragance17.6%17.6%
46 + yearsCount11
% within how old are you100.0%100.0%
% within importantance of fragance5.9%5.9%
TotalCount1717
% within how old are you100.0%100.0%
% within importantance of fragance100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of fragance is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of fragance is a constant.
how old are you * importantance of quality
Crosstab
importantance of qualityTotal
extremely important
how old are you1-18 yearsCount11
% within how old are you100.0%100.0%
% within importantance of quality5.9%5.9%
19 -25 yearsCount99
% within how old are you100.0%100.0%
% within importantance of quality52.9%52.9%
26 - 35 yearsCount33
% within how old are you100.0%100.0%
% within importantance of quality17.6%17.6%
36 - 45 yearsCount33
% within how old are you100.0%100.0%
% within importantance of quality17.6%17.6%
46 + yearsCount11
% within how old are you100.0%100.0%
% within importantance of quality5.9%5.9%
TotalCount1717
% within how old are you100.0%100.0%
% within importantance of quality100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of quality is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of quality is a constant.
how old are you * importantance of price
Crosstab
importantance of priceTotal
slightly unimportantneither important nor unimportantextremely importantSlightly Unimportnant
how old are you1-18 yearsCount01010-18 years0
% within how old are you0.0%100.0%0.0%100.0%19-2575.0%
% within importantance of price0.0%12.5%0.0%5.9%26-350.0%
19 -25 yearsCount333936-4533
% within how old are you33.3%33.3%33.3%100.0%46 +0.0%
% within importantance of price75.0%37.5%60.0%52.9%Neither
26 - 35 yearsCount02130-18 years12.5%
% within how old are you0.0%66.7%33.3%100.0%19-2537.5%
% within importantance of price0.0%25.0%20.0%17.6%26-3525.0%
36 - 45 yearsCount111336-4512.5%
% within how old are you33.3%33.3%33.3%100.0%46 +12.5%
% within importantance of price25.0%12.5%20.0%17.6%
46 + yearsCount0101
% within how old are you0.0%100.0%0.0%100.0%
% within importantance of price0.0%12.5%0.0%5.9%
TotalCount48517
% within how old are you23.5%47.1%29.4%100.0%
% within importantance of price100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square4.25080.834
Likelihood Ratio5.68880.682
Linear-by-Linear Association0.00010.986
N of Valid Cases17
a. 15 cells (100.0%) have expected count less than 5. The minimum expected count is .24.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.0040.203-0.0170.987
Ordinal by OrdinalSpearman Correlation0.0520.2110.2010.843
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * importantance of selection
Crosstab
importantance of selectionTotal
extremely important
how old are you1-18 yearsCount11
% within how old are you100.0%100.0%
% within importantance of selection5.9%5.9%
19 -25 yearsCount99
% within how old are you100.0%100.0%
% within importantance of selection52.9%52.9%
26 - 35 yearsCount33
% within how old are you100.0%100.0%
% within importantance of selection17.6%17.6%
36 - 45 yearsCount33
% within how old are you100.0%100.0%
% within importantance of selection17.6%17.6%
46 + yearsCount11
% within how old are you100.0%100.0%
% within importantance of selection5.9%5.9%
TotalCount1717
% within how old are you100.0%100.0%
% within importantance of selection100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of selection is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of selection is a constant.
how old are you * favorite store to shop
Crosstab
favorite store to shopTotal
specialty storedepartment storediscount storemarket
how old are you1-18 yearsCount10001
% within how old are you100.0%0.0%0.0%0.0%100.0%
% within favorite store to shop10.0%0.0%0.0%0.0%5.9%
19 -25 yearsCount41319
% within how old are you44.4%11.1%33.3%11.1%100.0%
% within favorite store to shop40.0%100.0%60.0%100.0%52.9%
26 - 35 yearsCount30003
% within how old are you100.0%0.0%0.0%0.0%100.0%
% within favorite store to shop30.0%0.0%0.0%0.0%17.6%
36 - 45 yearsCount10203
% within how old are you33.3%0.0%66.7%0.0%100.0%
% within favorite store to shop10.0%0.0%40.0%0.0%17.6%
46 + yearsCount10001
% within how old are you100.0%0.0%0.0%0.0%100.0%
% within favorite store to shop10.0%0.0%0.0%0.0%5.9%
TotalCount1015117
% within how old are you58.8%5.9%29.4%5.9%100.0%
% within favorite store to shop100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square6.800120.871
Likelihood Ratio8.496120.745
Linear-by-Linear Association0.11010.741
N of Valid Cases17
a. 19 cells (95.0%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.0830.207-0.3220.752
Ordinal by OrdinalSpearman Correlation-0.0770.240-0.3010.768
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * how much do you typically pay for perfume
Crosstab
how much do you typically pay for perfumeTotal
$26- $40> $40
how old are you1-18 yearsCount011
% within how old are you0.0%100.0%100.0%
% within how much do you typically pay for perfume0.0%7.7%5.9%
19 -25 yearsCount369
% within how old are you33.3%66.7%100.0%
% within how much do you typically pay for perfume75.0%46.2%52.9%
26 - 35 yearsCount123
% within how old are you33.3%66.7%100.0%
% within how much do you typically pay for perfume25.0%15.4%17.6%
36 - 45 yearsCount033
% within how old are you0.0%100.0%100.0%
% within how much do you typically pay for perfume0.0%23.1%17.6%
46 + yearsCount011
% within how old are you0.0%100.0%100.0%
% within how much do you typically pay for perfume0.0%7.7%5.9%
TotalCount41317
% within how old are you23.5%76.5%100.0%
% within how much do you typically pay for perfume100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square2.17940.703
Likelihood Ratio3.27440.513
Linear-by-Linear Association0.73810.390
N of Valid Cases17
a. 9 cells (90.0%) have expected count less than 5. The minimum expected count is .24.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.2150.1490.8520.408
Ordinal by OrdinalSpearman Correlation0.1850.1840.7290.477
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * how you learn about favorite perfume
Crosstab
how you learn about favorite perfumeTotal
TV advertisingfashion magazinesfriends and familyit was given to me as a gift
how old are you1-18 yearsCount01001
% within how old are you0.0%100.0%0.0%0.0%100.0%
% within how you learn about favorite perfume0.0%10.0%0.0%0.0%5.9%
19 -25 yearsCount14229
% within how old are you11.1%44.4%22.2%22.2%100.0%
% within how you learn about favorite perfume100.0%40.0%66.7%66.7%52.9%
26 - 35 yearsCount03003
% within how old are you0.0%100.0%0.0%0.0%100.0%
% within how you learn about favorite perfume0.0%30.0%0.0%0.0%17.6%
36 - 45 yearsCount02013
% within how old are you0.0%66.7%0.0%33.3%100.0%
% within how you learn about favorite perfume0.0%20.0%0.0%33.3%17.6%
46 + yearsCount00101
% within how old are you0.0%0.0%100.0%0.0%100.0%
% within how you learn about favorite perfume0.0%0.0%33.3%0.0%5.9%
TotalCount1103317
% within how old are you5.9%58.8%17.6%17.6%100.0%
% within how you learn about favorite perfume100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square9.570120.654
Likelihood Ratio10.361120.584
Linear-by-Linear Association0.08310.773
N of Valid Cases17
a. 19 cells (95.0%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.0720.2150.2800.783
Ordinal by OrdinalSpearman Correlation0.0890.2280.3450.735
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * length you been wearing fav. perfume
Crosstab
length you been wearing fav. perfumeTotal
less than one montha few monthsseveral monthsmore than one yearseveral years
how old are you1-18 yearsCount001001
% within how old are you0.0%0.0%100.0%0.0%0.0%100.0%
% within length you been wearing fav. perfume0.0%0.0%50.0%0.0%0.0%5.9%
19 -25 yearsCount111519
% within how old are you11.1%11.1%11.1%55.6%11.1%100.0%
% within length you been wearing fav. perfume100.0%25.0%50.0%62.5%50.0%52.9%
26 - 35 yearsCount020103
% within how old are you0.0%66.7%0.0%33.3%0.0%100.0%
% within length you been wearing fav. perfume0.0%50.0%0.0%12.5%0.0%17.6%
36 - 45 yearsCount010113
% within how old are you0.0%33.3%0.0%33.3%33.3%100.0%
% within length you been wearing fav. perfume0.0%25.0%0.0%12.5%50.0%17.6%
46 + yearsCount000101
% within how old are you0.0%0.0%0.0%100.0%0.0%100.0%
% within length you been wearing fav. perfume0.0%0.0%0.0%12.5%0.0%5.9%
TotalCount1428217
% within how old are you5.9%23.5%11.8%47.1%11.8%100.0%
% within length you been wearing fav. perfume100.0%100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square15.111160.517
Likelihood Ratio12.556160.705
Linear-by-Linear Association0.18310.669
N of Valid Cases17
a. 25 cells (100.0%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.1070.1990.4170.683
Ordinal by OrdinalSpearman Correlation0.0840.2330.3260.749
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * heard of victoria sercet
Crosstab
heard of victoria sercetTotal
no
how old are you1-18 yearsCount11
% within how old are you100.0%100.0%
% within heard of victoria sercet5.9%5.9%
19 -25 yearsCount99
% within how old are you100.0%100.0%
% within heard of victoria sercet52.9%52.9%
26 - 35 yearsCount33
% within how old are you100.0%100.0%
% within heard of victoria sercet17.6%17.6%
36 - 45 yearsCount33
% within how old are you100.0%100.0%
% within heard of victoria sercet17.6%17.6%
46 + yearsCount11
% within how old are you100.0%100.0%
% within heard of victoria sercet5.9%5.9%
TotalCount1717
% within how old are you100.0%100.0%
% within heard of victoria sercet100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because heard of victoria sercet is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because heard of victoria sercet is a constant.
how old are you * shopped at victoria store
Crosstab
shopped at victoria storeTotal
yesno
how old are you1-18 yearsCount011
% within how old are you0.0%100.0%100.0%
% within shopped at victoria store0.0%6.3%5.9%
19 -25 yearsCount099
% within how old are you0.0%100.0%100.0%
% within shopped at victoria store0.0%56.3%52.9%
26 - 35 yearsCount033
% within how old are you0.0%100.0%100.0%
% within shopped at victoria store0.0%18.8%17.6%
36 - 45 yearsCount123
% within how old are you33.3%66.7%100.0%
% within shopped at victoria store100.0%12.5%17.6%
46 + yearsCount011
% within how old are you0.0%100.0%100.0%
% within shopped at victoria store0.0%6.3%5.9%
TotalCount11617
% within how old are you5.9%94.1%100.0%
% within shopped at victoria store100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square4.95840.292
Likelihood Ratio3.78740.436
Linear-by-Linear Association1.74010.187
N of Valid Cases17
a. 9 cells (90.0%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.3300.172-1.3530.196
Ordinal by OrdinalSpearman Correlation-0.3330.164-1.3700.191
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * interested in receiving a victoria secret catalog
Crosstab
interested in receiving a victoria secret catalogTotal
yesno
how old are you1-18 yearsCount101
% within how old are you100.0%0.0%100.0%
% within interested in receiving a victoria secret catalog7.7%0.0%6.3%
19 -25 yearsCount628
% within how old are you75.0%25.0%100.0%
% within interested in receiving a victoria secret catalog46.2%66.7%50.0%
26 - 35 yearsCount303
% within how old are you100.0%0.0%100.0%
% within interested in receiving a victoria secret catalog23.1%0.0%18.8%
36 - 45 yearsCount213
% within how old are you66.7%33.3%100.0%
% within interested in receiving a victoria secret catalog15.4%33.3%18.8%
46 + yearsCount101
% within how old are you100.0%0.0%100.0%
% within interested in receiving a victoria secret catalog7.7%0.0%6.3%
TotalCount13316
% within how old are you81.3%18.8%100.0%
% within interested in receiving a victoria secret catalog100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square1.77840.777
Likelihood Ratio2.62640.622
Linear-by-Linear Association0.00110.970
N of Valid Cases16
a. 9 cells (90.0%) have expected count less than 5. The minimum expected count is .19.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.0100.232-0.0360.972
Ordinal by OrdinalSpearman Correlation-0.0190.240-0.0700.945
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * interested in shopping at a vic store
Crosstab
interested in shopping at a vic storeTotal
yesno
how old are you1-18 yearsCount101
% within how old are you100.0%0.0%100.0%
% within interested in shopping at a vic store8.3%0.0%6.3%
19 -25 yearsCount538
% within how old are you62.5%37.5%100.0%
% within interested in shopping at a vic store41.7%75.0%50.0%
26 - 35 yearsCount303
% within how old are you100.0%0.0%100.0%
% within interested in shopping at a vic store25.0%0.0%18.8%
36 - 45 yearsCount213
% within how old are you66.7%33.3%100.0%
% within interested in shopping at a vic store16.7%25.0%18.8%
46 + yearsCount101
% within how old are you100.0%0.0%100.0%
% within interested in shopping at a vic store8.3%0.0%6.3%
TotalCount12416
% within how old are you75.0%25.0%100.0%
% within interested in shopping at a vic store100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square2.44440.655
Likelihood Ratio3.59140.464
Linear-by-Linear Association0.16110.688
N of Valid Cases16
a. 9 cells (90.0%) have expected count less than 5. The minimum expected count is .25.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.1040.221-0.3900.702
Ordinal by OrdinalSpearman Correlation-0.1180.233-0.4440.664
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * interested in buying beauty product from vic
Crosstab
interested in buying beauty product from vicTotal
yesno
how old are you1-18 yearsCount101
% within how old are you100.0%0.0%100.0%
% within interested in buying beauty product from vic8.3%0.0%6.3%
19 -25 yearsCount538
% within how old are you62.5%37.5%100.0%
% within interested in buying beauty product from vic41.7%75.0%50.0%
26 - 35 yearsCount303
% within how old are you100.0%0.0%100.0%
% within interested in buying beauty product from vic25.0%0.0%18.8%
36 - 45 yearsCount213
% within how old are you66.7%33.3%100.0%
% within interested in buying beauty product from vic16.7%25.0%18.8%
46 + yearsCount101
% within how old are you100.0%0.0%100.0%
% within interested in buying beauty product from vic8.3%0.0%6.3%
TotalCount12416
% within how old are you75.0%25.0%100.0%
% within interested in buying beauty product from vic100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square2.44440.655
Likelihood Ratio3.59140.464
Linear-by-Linear Association0.16110.688
N of Valid Cases16
a. 9 cells (90.0%) have expected count less than 5. The minimum expected count is .25.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.1040.221-0.3900.702
Ordinal by OrdinalSpearman Correlation-0.1180.233-0.4440.664
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
how old are you * your level of education
Crosstab
your level of educationTotal
Some High SchoolHigh School DiplomaCollege Degree
how old are you1-18 yearsCount0011
% within how old are you0.0%0.0%100.0%100.0%
% within your level of education0.0%0.0%7.1%6.3%
19 -25 yearsCount0088
% within how old are you0.0%0.0%100.0%100.0%
% within your level of education0.0%0.0%57.1%50.0%
26 - 35 yearsCount1023
% within how old are you33.3%0.0%66.7%100.0%
% within your level of education100.0%0.0%14.3%18.8%
36 - 45 yearsCount0033
% within how old are you0.0%0.0%100.0%100.0%
% within your level of education0.0%0.0%21.4%18.8%
46 + yearsCount0101
% within how old are you0.0%100.0%0.0%100.0%
% within your level of education0.0%100.0%0.0%6.3%
TotalCount111416
% within how old are you6.3%6.3%87.5%100.0%
% within your level of education100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square20.57180.008
Likelihood Ratio11.01080.201
Linear-by-Linear Association1.67310.196
N of Valid Cases16
a. 14 cells (93.3%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.3340.172-1.3260.206
Ordinal by OrdinalSpearman Correlation-0.4260.181-1.7630.100
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * where learn about new products
Crosstab
where learn about new productsTotal
TV advertisingfashion magazinesin store displays and samples
what is your gendermaleCount3205
% within what is your gender60.0%40.0%0.0%100.0%
% within where learn about new products60.0%18.2%0.0%29.4%
femaleCount29112
% within what is your gender16.7%75.0%8.3%100.0%
% within where learn about new products40.0%81.8%100.0%70.6%TV CommercialsFashion MagazinesPOP Display
TotalCount51111729656
% within what is your gender29.4%64.7%5.9%100.0%
% within where learn about new products100.0%100.0%100.0%100.0%male60.0%male18.2%
female40.00%female81.80%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square3.33820.188
Likelihood Ratio3.43620.179
Linear-by-Linear Association2.40010.121
N of Valid Cases17
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is .29.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.3870.1601.6270.125
Ordinal by OrdinalSpearman Correlation0.4390.2141.8930.078
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * importantance of image
Crosstab
importantance of imageTotal
extremely unimportantunimportantslightly unimportantneither important nor unimportant
what is your gendermaleCount30025
% within what is your gender60.0%0.0%0.0%40.0%100.0%
% within importantance of image60.0%0.0%0.0%40.0%29.4%
femaleCount216312
% within what is your gender16.7%8.3%50.0%25.0%100.0%
% within importantance of image40.0%100.0%100.0%60.0%70.6%
TotalCount516517
% within what is your gender29.4%5.9%35.3%29.4%100.0%
% within importantance of image100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square5.44030.142
Likelihood Ratio7.13730.068
Linear-by-Linear Association0.94810.330
N of Valid Cases17
a. 8 cells (100.0%) have expected count less than 5. The minimum expected count is .29.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.2430.2740.9720.346
Ordinal by OrdinalSpearman Correlation0.1660.2980.6520.524
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * importantance of fragance
Crosstab
importantance of fraganceTotal
extremely important
what is your gendermaleCount55
% within what is your gender100.0%100.0%
% within importantance of fragance29.4%29.4%
femaleCount1212
% within what is your gender100.0%100.0%
% within importantance of fragance70.6%70.6%
TotalCount1717
% within what is your gender100.0%100.0%
% within importantance of fragance100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of fragance is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of fragance is a constant.
what is your gender * importantance of quality
Crosstab
importantance of qualityTotal
extremely important
what is your gendermaleCount55
% within what is your gender100.0%100.0%
% within importantance of quality29.4%29.4%
femaleCount1212
% within what is your gender100.0%100.0%
% within importantance of quality70.6%70.6%
TotalCount1717
% within what is your gender100.0%100.0%
% within importantance of quality100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of quality is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of quality is a constant.
what is your gender * importantance of price
Crosstab
importantance of priceTotal
slightly unimportantneither important nor unimportantextremely important
what is your gendermaleCount0145
% within what is your gender0.0%20.0%80.0%100.0%
% within importantance of price0.0%12.5%80.0%29.4%
femaleCount47112
% within what is your gender33.3%58.3%8.3%100.0%slightly unimportantneither important nor unimportantextremely important
% within importantance of price100.0%87.5%20.0%70.6%23.5%47.1%29.4%
TotalCount48517
% within what is your gender23.5%47.1%29.4%100.0%slightly unimportantneither important nor unimportantextremely important
% within importantance of price100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square8.93220.011
Likelihood Ratio9.56520.008
Linear-by-Linear Association8.31510.004
N of Valid Cases17
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is 1.18.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.7210.166-4.0290.001
Ordinal by OrdinalSpearman Correlation-0.6680.139-3.4740.003
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * importantance of selection
Crosstab
importantance of selectionTotal
extremely important
what is your gendermaleCount55
% within what is your gender100.0%100.0%
% within importantance of selection29.4%29.4%
femaleCount1212
% within what is your gender100.0%100.0%
% within importantance of selection70.6%70.6%
TotalCount1717
% within what is your gender100.0%100.0%
% within importantance of selection100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of selection is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of selection is a constant.
what is your gender * favorite store to shop
Crosstab
favorite store to shopTotal
specialty storedepartment storediscount storemarket
what is your gendermaleCount20215
% within what is your gender40.0%0.0%40.0%20.0%100.0%
% within favorite store to shop20.0%0.0%40.0%100.0%29.4%
femaleCount813012
% within what is your gender66.7%8.3%25.0%0.0%100.0%
% within favorite store to shop80.0%100.0%60.0%0.0%70.6%
TotalCount1015117specialty storedepartment storediscount storesupermarket
% within what is your gender58.8%5.9%29.4%5.9%100.0%58.8%5.9%29.4%5.9%
% within favorite store to shop100.0%100.0%100.0%100.0%100.0%specialty storediscount store
men40%men40
Chi-Square Testswomen66.7%women60
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square3.51330.319specialty storedepartment storediscount storesupermarket
Likelihood Ratio3.85930.277female66.70%8.3%25.0%0.0%
Linear-by-Linear Association2.45610.117
N of Valid Cases17
a. 7 cells (87.5%) have expected count less than 5. The minimum expected count is .29.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.3920.231-1.6490.120
Ordinal by OrdinalSpearman Correlation-0.3300.246-1.3520.196
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * how much do you typically pay for perfume
Crosstab
how much do you typically pay for perfumeTotal
$26- $40> $40
what is your gendermaleCount235
% within what is your gender40.0%60.0%100.0%
% within how much do you typically pay for perfume50.0%23.1%29.4%
femaleCount21012
% within what is your gender16.7%83.3%100.0%
% within how much do you typically pay for perfume50.0%76.9%70.6%$26-$40.>$40
TotalCount413172477
% within what is your gender23.5%76.5%100.0%
% within how much do you typically pay for perfume100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)
Pearson Chi-Square1.06810.301
Continuity Correction(a)0.16510.685
Likelihood Ratio1.00710.316
Fisher's Exact Test0.5380.330
Linear-by-Linear Association1.00510.316
N of Valid Cases17
a. Computed only for a 2x2 table
b. 3 cells (75.0%) have expected count less than 5. The minimum expected count is 1.18.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.2510.2561.0030.332
Ordinal by OrdinalSpearman Correlation0.2510.2561.0030.332
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * how you learn about favorite perfume
Crosstab
how you learn about favorite perfumeTotal
TV advertisingfashion magazinesfriends and familyit was given to me as a gift
what is your gendermaleCount03115
% within what is your gender0.0%60.0%20.0%20.0%100.0%
% within how you learn about favorite perfume0.0%30.0%33.3%33.3%29.4%
femaleCount172212
% within what is your gender8.3%58.3%16.7%16.7%100.0%
% within how you learn about favorite perfume100.0%70.0%66.7%66.7%70.6%
TotalCount1103317
% within what is your gender5.9%58.8%17.6%17.6%100.0%
% within how you learn about favorite perfume100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square0.46330.927
Likelihood Ratio0.74230.863
Linear-by-Linear Association0.08710.768
N of Valid Cases17
a. 7 cells (87.5%) have expected count less than 5. The minimum expected count is .29.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.0740.242-0.2870.778
Ordinal by OrdinalSpearman Correlation-0.1040.231-0.4050.691
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * length you been wearing fav. perfume
Crosstab
length you been wearing fav. perfumeTotal
less than one montha few monthsseveral monthsmore than one yearseveral years
what is your gendermaleCount110305
% within what is your gender20.0%20.0%0.0%60.0%0.0%100.0%
% within length you been wearing fav. perfume100.0%25.0%0.0%37.5%0.0%29.4%
femaleCount0325212
% within what is your gender0.0%25.0%16.7%41.7%16.7%100.0%
% within length you been wearing fav. perfume0.0%75.0%100.0%62.5%100.0%70.6%
TotalCount1428217
% within what is your gender5.9%23.5%11.8%47.1%11.8%100.0%
% within length you been wearing fav. perfume100.0%100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square4.35640.360
Likelihood Ratio5.51340.239
Linear-by-Linear Association0.64510.422
N of Valid Cases17
a. 9 cells (90.0%) have expected count less than 5. The minimum expected count is .29.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.2010.2410.7940.440
Ordinal by OrdinalSpearman Correlation0.1680.2390.6610.518
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * heard of victoria sercet
Crosstab
heard of victoria sercetTotal
no
what is your gendermaleCount55
% within what is your gender100.0%100.0%
% within heard of victoria sercet29.4%29.4%
femaleCount1212
% within what is your gender100.0%100.0%
% within heard of victoria sercet70.6%70.6%
TotalCount1717
% within what is your gender100.0%100.0%
% within heard of victoria sercet100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because heard of victoria sercet is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because heard of victoria sercet is a constant.
what is your gender * shopped at victoria store
Crosstab
shopped at victoria storeTotal
yesno
what is your gendermaleCount055
% within what is your gender0.0%100.0%100.0%
% within shopped at victoria store0.0%31.3%29.4%
femaleCount11112
% within what is your gender8.3%91.7%100.0%
% within shopped at victoria store100.0%68.8%70.6%
TotalCount11617
% within what is your gender5.9%94.1%100.0%
% within shopped at victoria store100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)
Pearson Chi-Square0.44310.506
Continuity Correction(a)0.00011.000
Likelihood Ratio0.72210.395
Fisher's Exact Test1.0000.706
Linear-by-Linear Association0.41710.519
N of Valid Cases17
a. Computed only for a 2x2 table
b. 3 cells (75.0%) have expected count less than 5. The minimum expected count is .29.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.1610.087-0.6330.536
Ordinal by OrdinalSpearman Correlation-0.1610.087-0.6330.536
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * interested in receiving a victoria secret catalog
Crosstab
interested in receiving a victoria secret catalogTotal
yesno
what is your gendermaleCount235
% within what is your gender40.0%60.0%100.0%
% within interested in receiving a victoria secret catalog15.4%100.0%31.3%
femaleCount11011
% within what is your gender100.0%0.0%100.0%
% within interested in receiving a victoria secret catalog84.6%0.0%68.8%
TotalCount13316
% within what is your gender81.3%18.8%100.0%
% within interested in receiving a victoria secret catalog100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)
Pearson Chi-Square8.12310.004
Continuity Correction(a)4.66210.031
Likelihood Ratio8.71210.003
Fisher's Exact Test0.0180.018
Linear-by-Linear Association7.61510.006
N of Valid Cases16
a. Computed only for a 2x2 table
b. 3 cells (75.0%) have expected count less than 5. The minimum expected count is .94.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.7130.163-3.8000.002
Ordinal by OrdinalSpearman Correlation-0.7130.163-3.8000.002
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * interested in shopping at a vic store
Crosstab
interested in shopping at a vic storeTotal
yesno
what is your gendermaleCount145
% within what is your gender20.0%80.0%100.0%
% within interested in shopping at a vic store8.3%100.0%31.3%
femaleCount11011
% within what is your gender100.0%0.0%100.0%
% within interested in shopping at a vic store91.7%0.0%68.8%
TotalCount12416
% within what is your gender75.0%25.0%100.0%
% within interested in shopping at a vic store100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)
Pearson Chi-Square11.73310.001
Continuity Correction(a)7.85510.005
Likelihood Ratio12.99110.000
Fisher's Exact Test0.0030.003
Linear-by-Linear Association11.00010.001
N of Valid Cases16
a. Computed only for a 2x2 table
b. 3 cells (75.0%) have expected count less than 5. The minimum expected count is 1.25.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.8560.129-6.2050.000
Ordinal by OrdinalSpearman Correlation-0.8560.129-6.2050.000
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * interested in buying beauty product from vic
Crosstab
interested in buying beauty product from vicTotal
yesno
what is your gendermaleCount145
% within what is your gender20.0%80.0%100.0%
% within interested in buying beauty product from vic8.3%100.0%31.3%
femaleCount11011
% within what is your gender100.0%0.0%100.0%yes75.0%
% within interested in buying beauty product from vic91.7%0.0%68.8%no25.0%
TotalCount12416
% within what is your gender75.0%25.0%100.0%female91.7%
% within interested in buying beauty product from vic100.0%100.0%100.0%male8.3%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)
Pearson Chi-Square11.73310.001
Continuity Correction(a)7.85510.005
Likelihood Ratio12.99110.000
Fisher's Exact Test0.0030.003
Linear-by-Linear Association11.00010.001
N of Valid Cases16
a. Computed only for a 2x2 table
b. 3 cells (75.0%) have expected count less than 5. The minimum expected count is 1.25.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.8560.129-6.2050.000
Ordinal by OrdinalSpearman Correlation-0.8560.129-6.2050.000
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your gender * your level of education
Crosstab
your level of educationTotal
Some High SchoolHigh School DiplomaCollege Degree
what is your gendermaleCount0055
% within what is your gender0.0%0.0%100.0%100.0%
% within your level of education0.0%0.0%35.7%31.3%
femaleCount11911
% within what is your gender9.1%9.1%81.8%100.0%
% within your level of education100.0%100.0%64.3%68.8%
TotalCount111416
% within what is your gender6.3%6.3%87.5%100.0%
% within your level of education100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square1.03920.595
Likelihood Ratio1.62620.444
Linear-by-Linear Association0.86410.353
N of Valid Cases16
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is .31.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.2400.096-0.9250.371
Ordinal by OrdinalSpearman Correlation-0.2540.102-0.9840.342
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * where learn about new products
Crosstab
where learn about new productsTotal
TV advertisingfashion magazinesin store displays and samples
what is your marital statussingleCount36110
% within what is your marital status30.0%60.0%10.0%100.0%
% within where learn about new products60.0%54.5%100.0%58.8%
marriedCount2406
% within what is your marital status33.3%66.7%0.0%100.0%
% within where learn about new products40.0%36.4%0.0%35.3%
separatedCount0101
% within what is your marital status0.0%100.0%0.0%100.0%
% within where learn about new products0.0%9.1%0.0%5.9%
TotalCount511117
% within what is your marital status29.4%64.7%5.9%100.0%
% within where learn about new products100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square1.25740.869
Likelihood Ratio1.88440.757
Linear-by-Linear Association0.03110.860
N of Valid Cases17
a. 8 cells (88.9%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.0440.165-0.1710.866
Ordinal by OrdinalSpearman Correlation-0.0300.227-0.1170.908
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * importantance of image
Crosstab
importantance of imageTotal
extremely unimportantunimportantslightly unimportantneither important nor unimportant
what is your marital statussingleCount313310
% within what is your marital status30.0%10.0%30.0%30.0%100.0%
% within importantance of image60.0%100.0%50.0%60.0%58.8%
marriedCount20226
% within what is your marital status33.3%0.0%33.3%33.3%100.0%
% within importantance of image40.0%0.0%33.3%40.0%35.3%
separatedCount00101
% within what is your marital status0.0%0.0%100.0%0.0%100.0%
% within importantance of image0.0%0.0%16.7%0.0%5.9%
TotalCount516517
% within what is your marital status29.4%5.9%35.3%29.4%100.0%
% within importantance of image100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square2.62660.854
Likelihood Ratio3.17960.786
Linear-by-Linear Association0.09110.763
N of Valid Cases17
a. 12 cells (100.0%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.0750.1610.2920.774
Ordinal by OrdinalSpearman Correlation0.0410.2250.1580.877
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * importantance of fragance
Crosstab
importantance of fraganceTotal
extremely important
what is your marital statussingleCount1010
% within what is your marital status100.0%100.0%
% within importantance of fragance58.8%58.8%
marriedCount66
% within what is your marital status100.0%100.0%
% within importantance of fragance35.3%35.3%
separatedCount11
% within what is your marital status100.0%100.0%
% within importantance of fragance5.9%5.9%
TotalCount1717
% within what is your marital status100.0%100.0%
% within importantance of fragance100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of fragance is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of fragance is a constant.
what is your marital status * importantance of quality
Crosstab
importantance of qualityTotal
extremely important
what is your marital statussingleCount1010
% within what is your marital status100.0%100.0%
% within importantance of quality58.8%58.8%
marriedCount66
% within what is your marital status100.0%100.0%
% within importantance of quality35.3%35.3%
separatedCount11
% within what is your marital status100.0%100.0%
% within importantance of quality5.9%5.9%
TotalCount1717
% within what is your marital status100.0%100.0%
% within importantance of quality100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of quality is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of quality is a constant.
what is your marital status * importantance of price
Crosstab
importantance of priceTotal
slightly unimportantneither important nor unimportantextremely important
what is your marital statussingleCount15410
% within what is your marital status10.0%50.0%40.0%100.0%
% within importantance of price25.0%62.5%80.0%58.8%
marriedCount3216
% within what is your marital status50.0%33.3%16.7%100.0%
% within importantance of price75.0%25.0%20.0%35.3%
separatedCount0101
% within what is your marital status0.0%100.0%0.0%100.0%
% within importantance of price0.0%12.5%0.0%5.9%
TotalCount48517
% within what is your marital status23.5%47.1%29.4%100.0%
% within importantance of price100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square4.66140.324
Likelihood Ratio4.87040.301
Linear-by-Linear Association1.26610.261
N of Valid Cases17
a. 9 cells (100.0%) have expected count less than 5. The minimum expected count is .24.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.2810.138-1.1350.274
Ordinal by OrdinalSpearman Correlation-0.3700.197-1.5440.143
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * importantance of selection
Crosstab
importantance of selectionTotal
extremely important
what is your marital statussingleCount1010
% within what is your marital status100.0%100.0%
% within importantance of selection58.8%58.8%
marriedCount66
% within what is your marital status100.0%100.0%
% within importantance of selection35.3%35.3%
separatedCount11
% within what is your marital status100.0%100.0%
% within importantance of selection5.9%5.9%
TotalCount1717
% within what is your marital status100.0%100.0%
% within importantance of selection100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of selection is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of selection is a constant.
what is your marital status * favorite store to shop
Crosstab
favorite store to shopTotal
specialty storedepartment storediscount storemarket
what is your marital statussingleCount612110
% within what is your marital status60.0%10.0%20.0%10.0%100.0%
% within favorite store to shop60.0%100.0%40.0%100.0%58.8%
marriedCount40206
% within what is your marital status66.7%0.0%33.3%0.0%100.0%
% within favorite store to shop40.0%0.0%40.0%0.0%35.3%
separatedCount00101
% within what is your marital status0.0%0.0%100.0%0.0%100.0%
% within favorite store to shop0.0%0.0%20.0%0.0%5.9%
TotalCount1015117
% within what is your marital status58.8%5.9%29.4%5.9%100.0%
% within favorite store to shop100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square4.08060.666
Likelihood Ratio4.76760.574
Linear-by-Linear Association0.27910.597
N of Valid Cases17
a. 11 cells (91.7%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.1320.2220.5160.614
Ordinal by OrdinalSpearman Correlation0.0820.2500.3180.755
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * how much do you typically pay for perfume
Crosstab
how much do you typically pay for perfumeTotal
$26- $40> $40
what is your marital statussingleCount4610
% within what is your marital status40.0%60.0%100.0%
% within how much do you typically pay for perfume100.0%46.2%58.8%
marriedCount066
% within what is your marital status0.0%100.0%100.0%
% within how much do you typically pay for perfume0.0%46.2%35.3%
separatedCount011
% within what is your marital status0.0%100.0%100.0%
% within how much do you typically pay for perfume0.0%7.7%5.9%
TotalCount41317
% within what is your marital status23.5%76.5%100.0%
% within how much do you typically pay for perfume100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square3.66220.160
Likelihood Ratio5.09020.078
Linear-by-Linear Association2.29210.130
N of Valid Cases17
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is .24.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.3780.1031.5840.134
Ordinal by OrdinalSpearman Correlation0.4560.1241.9850.066
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * how you learn about favorite perfume
Crosstab
how you learn about favorite perfumeTotal
TV advertisingfashion magazinesfriends and familyit was given to me as a gift
what is your marital statussingleCount152210
% within what is your marital status10.0%50.0%20.0%20.0%100.0%
% within how you learn about favorite perfume100.0%50.0%66.7%66.7%58.8%
marriedCount05106
% within what is your marital status0.0%83.3%16.7%0.0%100.0%
% within how you learn about favorite perfume0.0%50.0%33.3%0.0%35.3%
separatedCount00011
% within what is your marital status0.0%0.0%0.0%100.0%100.0%
% within how you learn about favorite perfume0.0%0.0%0.0%33.3%5.9%
TotalCount1103317
% within what is your marital status5.9%58.8%17.6%17.6%100.0%
% within how you learn about favorite perfume100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square7.17860.305
Likelihood Ratio7.27560.296
Linear-by-Linear Association1.20610.272
N of Valid Cases17
a. 11 cells (91.7%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.2750.3271.1060.286
Ordinal by OrdinalSpearman Correlation0.0400.2680.1540.880
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * length you been wearing fav. perfume
Crosstab
length you been wearing fav. perfumeTotal
less than one montha few monthsseveral monthsmore than one yearseveral years
what is your marital statussingleCount1215110
% within what is your marital status10.0%20.0%10.0%50.0%10.0%100.0%
% within length you been wearing fav. perfume100.0%50.0%50.0%62.5%50.0%58.8%
marriedCount021306
% within what is your marital status0.0%33.3%16.7%50.0%0.0%100.0%
% within length you been wearing fav. perfume0.0%50.0%50.0%37.5%0.0%35.3%
separatedCount000011
% within what is your marital status0.0%0.0%0.0%0.0%100.0%100.0%
% within length you been wearing fav. perfume0.0%0.0%0.0%0.0%50.0%5.9%
TotalCount1428217
% within what is your marital status5.9%23.5%11.8%47.1%11.8%100.0%
% within length you been wearing fav. perfume100.0%100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square9.35080.314
Likelihood Ratio7.10180.526
Linear-by-Linear Association1.04410.307
N of Valid Cases17
a. 15 cells (100.0%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.2550.2331.0230.322
Ordinal by OrdinalSpearman Correlation0.1150.2660.4480.661
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * heard of victoria sercet
Crosstab
heard of victoria sercetTotal
no
what is your marital statussingleCount1010
% within what is your marital status100.0%100.0%
% within heard of victoria sercet58.8%58.8%
marriedCount66
% within what is your marital status100.0%100.0%
% within heard of victoria sercet35.3%35.3%
separatedCount11
% within what is your marital status100.0%100.0%
% within heard of victoria sercet5.9%5.9%
TotalCount1717
% within what is your marital status100.0%100.0%
% within heard of victoria sercet100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because heard of victoria sercet is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because heard of victoria sercet is a constant.
what is your marital status * shopped at victoria store
Crosstab
shopped at victoria storeTotal
yesno
what is your marital statussingleCount01010
% within what is your marital status0.0%100.0%100.0%
% within shopped at victoria store0.0%62.5%58.8%
marriedCount156
% within what is your marital status16.7%83.3%100.0%
% within shopped at victoria store100.0%31.3%35.3%
separatedCount011
% within what is your marital status0.0%100.0%100.0%
% within shopped at victoria store0.0%6.3%5.9%
TotalCount11617
% within what is your marital status5.9%94.1%100.0%
% within shopped at victoria store100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square1.94820.378
Likelihood Ratio2.20020.333
Linear-by-Linear Association0.36810.544
N of Valid Cases17
a. 4 cells (66.7%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.1520.121-0.5940.561
Ordinal by OrdinalSpearman Correlation-0.2640.145-1.0610.305
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * interested in receiving a victoria secret catalog
Crosstab
interested in receiving a victoria secret catalogTotal
yesno
what is your marital statussingleCount8210
% within what is your marital status80.0%20.0%100.0%
% within interested in receiving a victoria secret catalog61.5%66.7%62.5%
marriedCount415
% within what is your marital status80.0%20.0%100.0%
% within interested in receiving a victoria secret catalog30.8%33.3%31.3%
separatedCount101
% within what is your marital status100.0%0.0%100.0%
% within interested in receiving a victoria secret catalog7.7%0.0%6.3%
TotalCount13316
% within what is your marital status81.3%18.8%100.0%
% within interested in receiving a victoria secret catalog100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square0.24620.884
Likelihood Ratio0.43020.806
Linear-by-Linear Association0.15410.695
N of Valid Cases16
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is .19.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.1010.165-0.3810.709
Ordinal by OrdinalSpearman Correlation-0.0610.230-0.2290.822
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * interested in shopping at a vic store
Crosstab
interested in shopping at a vic storeTotal
yesno
what is your marital statussingleCount7310
% within what is your marital status70.0%30.0%100.0%
% within interested in shopping at a vic store58.3%75.0%62.5%
marriedCount415
% within what is your marital status80.0%20.0%100.0%
% within interested in shopping at a vic store33.3%25.0%31.3%
separatedCount101
% within what is your marital status100.0%0.0%100.0%
% within interested in shopping at a vic store8.3%0.0%6.3%
TotalCount12416
% within what is your marital status75.0%25.0%100.0%
% within interested in shopping at a vic store100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square0.53320.766
Likelihood Ratio0.77320.679
Linear-by-Linear Association0.50010.480
N of Valid Cases16
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is .25.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.1830.156-0.6950.499
Ordinal by OrdinalSpearman Correlation-0.1650.219-0.6270.541
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * interested in buying beauty product from vic
Crosstab
interested in buying beauty product from vicTotal
yesno
what is your marital statussingleCount7310
% within what is your marital status70.0%30.0%100.0%
% within interested in buying beauty product from vic58.3%75.0%62.5%
marriedCount415
% within what is your marital status80.0%20.0%100.0%
% within interested in buying beauty product from vic33.3%25.0%31.3%
separatedCount101
% within what is your marital status100.0%0.0%100.0%
% within interested in buying beauty product from vic8.3%0.0%6.3%
TotalCount12416
% within what is your marital status75.0%25.0%100.0%
% within interested in buying beauty product from vic100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square0.53320.766
Likelihood Ratio0.77320.679
Linear-by-Linear Association0.50010.480
N of Valid Cases16
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is .25.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.1830.156-0.6950.499
Ordinal by OrdinalSpearman Correlation-0.1650.219-0.6270.541
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
what is your marital status * your level of education
Crosstab
your level of educationTotal
Some High SchoolHigh School DiplomaCollege Degree
what is your marital statussingleCount001010
% within what is your marital status0.0%0.0%100.0%100.0%
% within your level of education0.0%0.0%71.4%62.5%
marriedCount1135
% within what is your marital status20.0%20.0%60.0%100.0%
% within your level of education100.0%100.0%21.4%31.3%
separatedCount0011
% within what is your marital status0.0%0.0%100.0%100.0%
% within your level of education0.0%0.0%7.1%6.3%
TotalCount111416
% within what is your marital status6.3%6.3%87.5%100.0%
% within your level of education100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square5.02940.284
Likelihood Ratio5.32740.255
Linear-by-Linear Association0.76110.383
N of Valid Cases16
a. 8 cells (88.9%) have expected count less than 5. The minimum expected count is .06.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.2250.162-0.8650.402
Ordinal by OrdinalSpearman Correlation-0.4310.175-1.7900.095
N of Valid Cases16
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * where learn about new products
Crosstab
where learn about new productsTotal
TV advertisingfashion magazinesin store displays and samples
do you where cosmeticseverydayCount27110
% within do you where cosmetics20.0%70.0%10.0%100.0%
% within where learn about new products40.0%63.6%100.0%58.8%
weekdaysCount0202
% within do you where cosmetics0.0%100.0%0.0%100.0%
% within where learn about new products0.0%18.2%0.0%11.8%
neverCount3205
% within do you where cosmetics60.0%40.0%0.0%100.0%
% within where learn about new products60.0%18.2%0.0%29.4%
TotalCount511117
% within do you where cosmetics29.4%64.7%5.9%100.0%
% within where learn about new products100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square4.08040.395
Likelihood Ratio4.71540.318
Linear-by-Linear Association2.32510.127
N of Valid Cases17
a. 8 cells (88.9%) have expected count less than 5. The minimum expected count is .12.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.3810.166-1.5970.131
Ordinal by OrdinalSpearman Correlation-0.3620.226-1.5030.153
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * importantance of image
Crosstab
importantance of imageTotal
extremely unimportantunimportantslightly unimportantneither important nor unimportant
do you where cosmeticseverydayCount214310
% within do you where cosmetics20.0%10.0%40.0%30.0%100.0%
% within importantance of image40.0%100.0%66.7%60.0%58.8%
weekdaysCount00202
% within do you where cosmetics0.0%0.0%100.0%0.0%100.0%
% within importantance of image0.0%0.0%33.3%0.0%11.8%
neverCount30025
% within do you where cosmetics60.0%0.0%0.0%40.0%100.0%
% within importantance of image60.0%0.0%0.0%40.0%29.4%
TotalCount516517
% within do you where cosmetics29.4%5.9%35.3%29.4%100.0%
% within importantance of image100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square8.16060.227
Likelihood Ratio10.31260.112
Linear-by-Linear Association0.84910.357
N of Valid Cases17
a. 12 cells (100.0%) have expected count less than 5. The minimum expected count is .12.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.2300.277-0.9170.374
Ordinal by OrdinalSpearman Correlation-0.1490.278-0.5850.567
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * importantance of fragance
Crosstab
importantance of fraganceTotal
extremely important
do you where cosmeticseverydayCount1010
% within do you where cosmetics100.0%100.0%
% within importantance of fragance58.8%58.8%
weekdaysCount22
% within do you where cosmetics100.0%100.0%
% within importantance of fragance11.8%11.8%
neverCount55
% within do you where cosmetics100.0%100.0%
% within importantance of fragance29.4%29.4%
TotalCount1717
% within do you where cosmetics100.0%100.0%
% within importantance of fragance100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of fragance is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of fragance is a constant.
do you where cosmetics * importantance of quality
Crosstab
importantance of qualityTotal
extremely important
do you where cosmeticseverydayCount1010
% within do you where cosmetics100.0%100.0%
% within importantance of quality58.8%58.8%
weekdaysCount22
% within do you where cosmetics100.0%100.0%
% within importantance of quality11.8%11.8%
neverCount55
% within do you where cosmetics100.0%100.0%
% within importantance of quality29.4%29.4%
TotalCount1717
% within do you where cosmetics100.0%100.0%
% within importantance of quality100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of quality is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of quality is a constant.
do you where cosmetics * importantance of price
Crosstab
importantance of priceTotal
slightly unimportantneither important nor unimportantextremely important
do you where cosmeticseverydayCount45110
% within do you where cosmetics40.0%50.0%10.0%100.0%
% within importantance of price100.0%62.5%20.0%58.8%
weekdaysCount0202
% within do you where cosmetics0.0%100.0%0.0%100.0%
% within importantance of price0.0%25.0%0.0%11.8%
neverCount0145
% within do you where cosmetics0.0%20.0%80.0%100.0%
% within importantance of price0.0%12.5%80.0%29.4%
TotalCount48517
% within do you where cosmetics23.5%47.1%29.4%100.0%
% within importantance of price100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square11.00840.026
Likelihood Ratio12.00240.017
Linear-by-Linear Association8.13610.004
N of Valid Cases17
a. 9 cells (100.0%) have expected count less than 5. The minimum expected count is .47.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.7130.1723.9390.001
Ordinal by OrdinalSpearman Correlation0.6530.1513.3430.004
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * importantance of selection
Crosstab
importantance of selectionTotal
extremely important
do you where cosmeticseverydayCount1010
% within do you where cosmetics100.0%100.0%
% within importantance of selection58.8%58.8%
weekdaysCount22
% within do you where cosmetics100.0%100.0%
% within importantance of selection11.8%11.8%
neverCount55
% within do you where cosmetics100.0%100.0%
% within importantance of selection29.4%29.4%
TotalCount1717
% within do you where cosmetics100.0%100.0%
% within importantance of selection100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because importantance of selection is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because importantance of selection is a constant.
do you where cosmetics * favorite store to shop
Crosstab
favorite store to shopTotal
specialty storedepartment storediscount storemarket
do you where cosmeticseverydayCount811010
% within do you where cosmetics80.0%10.0%10.0%0.0%100.0%
% within favorite store to shop80.0%100.0%20.0%0.0%58.8%
weekdaysCount00202
% within do you where cosmetics0.0%0.0%100.0%0.0%100.0%
% within favorite store to shop0.0%0.0%40.0%0.0%11.8%
neverCount20215
% within do you where cosmetics40.0%0.0%40.0%20.0%100.0%
% within favorite store to shop20.0%0.0%40.0%100.0%29.4%
TotalCount1015117
% within do you where cosmetics58.8%5.9%29.4%5.9%100.0%
% within favorite store to shop100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square10.20060.116
Likelihood Ratio10.85360.093
Linear-by-Linear Association3.46110.063
N of Valid Cases17
a. 11 cells (91.7%) have expected count less than 5. The minimum expected count is .12.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.4650.2122.0350.060
Ordinal by OrdinalSpearman Correlation0.5220.2142.3690.032
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * how much do you typically pay for perfume
Crosstab
how much do you typically pay for perfumeTotal
$26- $40> $40
do you where cosmeticseverydayCount2810
% within do you where cosmetics20.0%80.0%100.0%
% within how much do you typically pay for perfume50.0%61.5%58.8%
weekdaysCount022
% within do you where cosmetics0.0%100.0%100.0%
% within how much do you typically pay for perfume0.0%15.4%11.8%
neverCount235
% within do you where cosmetics40.0%60.0%100.0%
% within how much do you typically pay for perfume50.0%23.1%29.4%
TotalCount41317
% within do you where cosmetics23.5%76.5%100.0%
% within how much do you typically pay for perfume100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square1.43820.487
Likelihood Ratio1.81220.404
Linear-by-Linear Association0.77910.377
N of Valid Cases17
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is .47.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.2210.262-0.8760.395
Ordinal by OrdinalSpearman Correlation-0.1610.260-0.6320.537
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * how you learn about favorite perfume
Crosstab
how you learn about favorite perfumeTotal
TV advertisingfashion magazinesfriends and familyit was given to me as a gift
do you where cosmeticseverydayCount072110
% within do you where cosmetics0.0%70.0%20.0%10.0%100.0%
% within how you learn about favorite perfume0.0%70.0%66.7%33.3%58.8%
weekdaysCount10012
% within do you where cosmetics50.0%0.0%0.0%50.0%100.0%
% within how you learn about favorite perfume100.0%0.0%0.0%33.3%11.8%
neverCount03115
% within do you where cosmetics0.0%60.0%20.0%20.0%100.0%
% within how you learn about favorite perfume0.0%30.0%33.3%33.3%29.4%
TotalCount1103317
% within do you where cosmetics5.9%58.8%17.6%17.6%100.0%
% within how you learn about favorite perfume100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square10.82360.094
Likelihood Ratio8.78360.186
Linear-by-Linear Association0.17610.675
N of Valid Cases17
a. 11 cells (91.7%) have expected count less than 5. The minimum expected count is .12.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.1050.2260.4090.689
Ordinal by OrdinalSpearman Correlation0.0860.2300.3330.744
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * length you been wearing fav. perfume
Crosstab
length you been wearing fav. perfumeTotal
less than one montha few monthsseveral monthsmore than one yearseveral years
do you where cosmeticseverydayCount0324110
% within do you where cosmetics0.0%30.0%20.0%40.0%10.0%100.0%
% within length you been wearing fav. perfume0.0%75.0%100.0%50.0%50.0%58.8%
weekdaysCount000112
% within do you where cosmetics0.0%0.0%0.0%50.0%50.0%100.0%
% within length you been wearing fav. perfume0.0%0.0%0.0%12.5%50.0%11.8%
neverCount110305
% within do you where cosmetics20.0%20.0%0.0%60.0%0.0%100.0%
% within length you been wearing fav. perfume100.0%25.0%0.0%37.5%0.0%29.4%
TotalCount1428217
% within do you where cosmetics5.9%23.5%11.8%47.1%11.8%100.0%
% within length you been wearing fav. perfume100.0%100.0%100.0%100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square7.86380.447
Likelihood Ratio8.55080.382
Linear-by-Linear Association0.31010.578
N of Valid Cases17
a. 15 cells (100.0%) have expected count less than 5. The minimum expected count is .12.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R-0.1390.246-0.5440.594
Ordinal by OrdinalSpearman Correlation0.0090.2550.0350.973
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * heard of victoria sercet
Crosstab
heard of victoria sercetTotal
no
do you where cosmeticseverydayCount1010
% within do you where cosmetics100.0%100.0%
% within heard of victoria sercet58.8%58.8%
weekdaysCount22
% within do you where cosmetics100.0%100.0%
% within heard of victoria sercet11.8%11.8%
neverCount55
% within do you where cosmetics100.0%100.0%
% within heard of victoria sercet29.4%29.4%
TotalCount1717
% within do you where cosmetics100.0%100.0%
% within heard of victoria sercet100.0%100.0%
Chi-Square Tests
Value
Pearson Chi-Square.(a)
N of Valid Cases17
a. No statistics are computed because heard of victoria sercet is a constant.
Symmetric Measures
Value
Interval by IntervalPearson's R.(a)
N of Valid Cases17
a. No statistics are computed because heard of victoria sercet is a constant.
do you where cosmetics * shopped at victoria store
Crosstab
shopped at victoria storeTotal
yesno
do you where cosmeticseverydayCount1910
% within do you where cosmetics10.0%90.0%100.0%
% within shopped at victoria store100.0%56.3%58.8%
weekdaysCount022
% within do you where cosmetics0.0%100.0%100.0%
% within shopped at victoria store0.0%12.5%11.8%
neverCount055
% within do you where cosmetics0.0%100.0%100.0%
% within shopped at victoria store0.0%31.3%29.4%
TotalCount11617
% within do you where cosmetics5.9%94.1%100.0%
% within shopped at victoria store100.0%100.0%100.0%
Chi-Square Tests
ValuedfAsymp. Sig. (2-sided)
Pearson Chi-Square0.74420.689
Likelihood Ratio1.10520.576
Linear-by-Linear Association0.53210.466
N of Valid Cases17
a. 5 cells (83.3%) have expected count less than 5. The minimum expected count is .12.
Symmetric Measures
ValueAsymp. Std. Error(a)Approx. T(b)Approx. Sig.
Interval by IntervalPearson's R0.1820.0950.7180.484
Ordinal by OrdinalSpearman Correlation0.2030.1050.8040.434
N of Valid Cases17
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
do you where cosmetics * interested in receiving a victoria secret catalog
Crosstab
interested in receiving a victoria secret catalogTotal
yesno
do you where cosmeticseverydayCount909
% within do you where cosmetics100.0%0.0%100.0%