hypothesis and analysis

8/6/2019 Hypothesis and Analysis

1/21


2/21

Chi-Square Tests

Value df

Asymp.

Sig. (2-

sided)

Monte Carlo Sig. (2-sided) Monte Carlo Sig. (1-sided)

Sig.

95% Confidence

Interval

95% Confidence

Interval

Sig.

Lower

Bound

Upper

Bound

Lower

Bound

Upper

Bound

Pearson Chi-

Square1.287

a2 .526 .782

b.673 .891

Likelihood Ratio 1.599 2 .449 .782b

.673 .891

Fisher's Exact

Test1.445 .473

b.341 .605

Linear-by-Linear

Association1.244

c1 .265 .364

b.237 .491 .187 .431 .309

b

N of Valid Cases 55

a. 3 cells (50.0%) have expected count less than 5. The minimum

expected count is .44.

Analysis and Interpretation:

The Calculated value of chi-square for 2 degree freedom at 5% level of

significance is 1.287. The P-value (critical value) .526, is more than 5% level

(0.05) (i.e. 526>.05) Hence our hypothesis is accepted .The conclusion is that, perception of respondents about real estate contribute in

growth and development of Indian economy is independent on their qualification

. Which means either the respondent is undergraduate, graduate or postgraduate

is having same perception. .


3/21

2) The preference for selection /purchasing of residential home is not related

(independent) to the respondent annual income.

Ho: Let us assume, that the preference/purchasing residential home is not related

(independent) to respondent income .

H1: Let us assume, that the preference/purchasing residential home is

related(dependent) to respondent income

preference to purchase a residential home * respondent annual income Cross

tabulation

respondent annual income

Total

1,00,000 &

above

below

1,00,000 no earnings

preference to purchase

a residential home

villas Count 13 14 0 27

Expected 12.8 13.7 .5 27.0

apartment Count 13 14 1 28

Expected 13.2 14.3 .5 28.0

Total Count 26 28 1 55

Expected

26.0 28.0 1.0 55.0


4/21

Chi-Square Tests

Value df

Asymp.

Sig. (2-

sided)

Monte Carlo Sig. (2-sided) Monte Carlo Sig. (1-sided)

Sig.

95% Confidence

Interval

95% Confidence

Interval

Sig.

Lower

Bound

Upper

Bound

Lower

Bound

Upper

Bound

Pearson Chi-

Square.982

a2 .612 1.000

b.947 1.000

Likelihood Ratio 1.368 2 .505 1.000b

.947 1.000

Fisher's Exact Test .946 1.000b

.947 1.000

Linear-by-Linear

Association.133

c1 .715 .782

b.673 .891 .323 .586 .455

b

N of Valid Cases 55

a. 2 cells (33.3%) have expected count less than 5. The minimum

expected count is .49.

Analysis and Interpretation:

The Calculated value of chi-square for 2 degree freedom at 5% level of

significance is .982. The P-value (critical value) .612, is more than 5% level (0.05)

(i.e. 612>.05) Hence our hypothesis is accepted.

The conclusion of this hypothesis is that the people gives more preference onthere choice because purchasing home is a dream of individual , which is mostly

one time investment.Therefore , preference for selection of residential home is

independent from there income. Which means people will be any group of

income is having more than 1,00,000 income or less than , gives more preference

to his choice.


5/21

Chapter-8

Data Analysis and Interpretation

Percentage Analysis on the bases of respondents profile

Occupation-Wise Analysis

Occupation Frequency Percent

Service 19 34.5

Business 25 45.5

Profession 6 10.9

Student 3 5.5

Housewife 1 1.8

retired person 1 1.8

Total 55 100.0

Table-1


6/21

Analysis :

Analysis on the basis of occupation , It is found that (Table -1 ) maximum number

of respondent are from business class i.e 45.5% , The next group i.e approximately

35% from service class and y 11% from professional . It is also reveal that very

less percent of respondent are from housewifes and retired person .

Interpretation:

The interpretation of this analysis is that business class people has shown more

interest in purchasing house property as compare to other groups. This may be

because of business class peoples belief invest their money in the property .There

are approx. 35% people from service class, how invest in the property after

fulfilling their responsibilities. House-wives being a female are least interested in

the real estate . Retired Person because old age and limited source of money are

less interested in real estate.


7/21

Gender-Wise Analysis

Gender Frequency Percent

male 54 98.2

female 1 1.8

Total55 100.0

Table - 2


8/21

Analysis:

Analysis on the basis of gender . It is found that (Table -2) maximum number of

respondent are from male class i.e 98%, the next class i.e female approximately

1.8%.

Interpretation:

The interpretation of this analysis is that male shown more interest in purchasing

the flats as compare to female. This may be because of male member do jobs and

they are more concerned about plans , taxes, loans , locations .while female are

mostly housewife and they are least bother about property dealing .

Marital Wise Analysis

Marital status Frequency Percent

single

23 41.8

married 32 58.2


9/21

Marital status Frequency Percent

single23 41.8

married 32 58.2

Total 55 100.0

Table-3

Analysis :

Analysis on the basis of marital status .It is found that (Table-3) maximum number

of respondent are from married class i.e 58.2% . The next class i.e approximately

41.8% .

Interpretation:

The interpretation of this analysis is that married shown more intrest in purchasing

properties as compare to single . This may be because married have there own

family consist of himself, wife , childrens ,so they need more for leaving purpose .

While single are least bother about purchasing flats because they are bagpackers

and they can adjust anywhere.


10/21

Age Wise Analysis

Age Frequency Percent

18-20 4 7.3

21-30 27 49.1

31-40 20 36.4

41-50 2 3.6

51-60 2 3.6

Total 55 100.0

Table-4


11/21


12/21

Qualification Wise Analysis

Qualification Frequency Percent

Undergraduate 14 25.5

Graduate 29 52.7

post graduate 12 21.8

Total 55 100.0

Table-5

Analysis :

Analysis on the basis of qualification.It is found that (Table -5) maximum number

of respondents are from graduates group i.e , 52.7% . The next group i.e; 25.5%

from under graduates and approximately 21.8%from post graduate.

Interpretation :The interpretation of this analysis is that person who are graduate shown more

intrest in purchasing flats because this group.


13/21

Annual Income Wise Analysis

Annual income Frequency Percent

1,00,000 & above 26 47.3

below 1,00,000 28 50.9

no earnings 1 1.8

Total 55 100.0

Table -6


14/21

Analysis:

Analysis on the basis of annual income .It is found that (Table 6 ) maximum

number of respondents are from below 1,00,000 i.e; 50.9% .The next group are

above 1,00,000 i.e; 47.3% , rest are from no income i.e; 1.8% .

Interpretation:


15/21

The interpretation of this analysis is that person whose annual income are below

1,00,000 are more intresting in purchasing flatsas compare to those person whose

income is above 1,00,000 .The reason behind this is that people are below 1,00,000

they always stores money for future aspects so there bank balance and fixed

deposits are involved in purchasing flats and the tax paid to the government for

home loan should be less also. Where as person who are above a package of above

1,00,000 are rich but their expense is also according to their lifestyle and those

person have been imposed a heavy tax for purchasing a flat those person are less in

numbers.

Analysis on the bases of respondents perception

amerpali subertech both

Awareness about the project of sub f % f % f %

30.9 17 29.1 16 40 22

Table-1


16/21


17/21

Cross Tabulation Analysis

Respondent occupation * knowledge about residential project of

shubhaaye infratechCross tabulation

Respondent

occupation

knowledge about residential project of

shubhaaye infratech

TotalAmrapali Supertech both

service 5 8 6 19

business 7 8 10 25

profession 2 0 4 6

student 1 0 2 3housewife 1 0 0 1

retired person 1 0 0 1

Total 17 16 22 55

Interpretation

The interpretation of this analysis is that service class people are 5 who know

about the knowledge of amrapali as compare to those person who know supertechare 8 in number and some service people know both i.e;6 in number.second comes

business class who know amrapali are 7 as compare to those who know supertech

are 8 in number and some are both i.e; 10.third comes profession who know

amrapali is 2 in number as compare to supertech who are 0 in number and some

are both whose nuber are 4.fourth comes students ,house wifes and retired person

whose knowledge about amrpali & supertech are negligible .


18/21

Respondent age * source of getting knowledge / information of projects

Cross tabulation

Respondent

age

source of getting knowledge / information of

projects

Totalnewspaper ad magazines TVmileyard internet

18-20 3 0 0 0 1 4

21-30 14 0 4 4 5 27

31-40 14 1 1 1 3 20

41-50 2 0 0 0 0 2

51-60 2 0 0 0 0 2

Total 35 1 5 5 9 55

Interpretation

The interpretation from this analysis is that from 18-20 age group of people get the

knowledge of project through newspaper is 3, magazines are 0 , TV are 0, mileyard

are 0, internet are 1.second 21-30 age group of people know project through

newspaper are 14, magazines are 0, TV are 4, mileyard are 4 and internet are

5.third 31-40 agegroup of people know the projects through newspaper are 14,

magazines are 1, TV is 1, mileyard is 1, internet are 3.fourt 41- 50 age group of

people know the project through newpaper are 2, magazines are 0, TV are 0,

mileyard are 0, internet are 0. And last fifth 51-60 age group of people know the

projects through newspaper are 2, magazines are 0, TV are 0, mileyard are 0,

internet are 0.


19/21

Correlation

1. There are 55 sample sizes in our study. The annual income of the

respondents was correlated for their preferences to selection of residential

home.

Correlations

respondent annual

income

preference to

purchase a

residential home

respondent annual income Pearson Correlation 1 .050

Sig. (2-tailed) .719

N 55 55

preference to purchase a

residential home

Pearson Correlation .050 1


N 55 55

The analysis of above table, it reveal that r = .050. A correlation of 0 indicates no relation

between the two variables or very low relationship. The p-values = .719 at a= 5% level of

significance. Therefore p>a (.719>.05).


20/21

Generally attitude of the people that , they are having high income prefer to

purchase a big house (villas) and less income prefer to purchase small home

(apartment). So we are created correlated between there 2 variables but it is

proved that there is no correlation between 2 variables.

2. There are 55 sample sizes in our study. The qualification of the respondents

was correlated for their for medium of information.

Correlations

Correlations

Respondent

qualification

source of getting

knowledge /

information of

projects

respondent qualification Pearson

Correlation1 .054


N 55 55

source of getting

knowledge / information of

projects

Pearson

Correlation.054 1


N 55 55


21/21

The analysis of above table, it reveal that r =.054 A correlation of 0 indicates no relation

between the two variables or very low relationship. The p-values =.695 at a= 5% level of

significance. Therefore p>a (.695>.05).

Generally attitude of the people are , they are having high qualification prefer

for source of getting information about projects of shubhaaye infratech . So

we are created correlated between there 2 variables but it is proved that there

is no correlation between 2 variables.

hypothesis and analysis

Documents