statistics, data analysis, and probability activity set 2
TRANSCRIPT
Statistics, Data Analysis, and Probability
Activity Set 2
Trainer Guide
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TGCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
Flip It
In this activity, participants explore probability concepts by using coins.
materials
• Transparency/Page:TreeDiagram• Transparency/Page:FundamentalPrincipleofCounting• Transparency/Page:ModelEPDLE• Transparency/Page:MoreChoices• Transparency/Page:Counting• Transparency/Page:NumberCubeTreeDiagram• Transparency/Page:FlipItOutcomes• Transparency/Page:FlipItOutcomes—Pennies• Transparency/Page:ProbabilityDefinitions• Transparency/Page:FlipItData• Transparency/Page:FlipItDataSummary• 1 nickel and 1 penny per pair of participants
Vocabulary
• theoreticalprobability• experimentalprobability• statistics• samplespace• outcome
time:40minutes
IntroDuCe
•Suggesttoparticipantsthatinlifewefrequentlymakepredictionsbasedoninformationthatwehaveaboutthecircumstancesthatsurroundevents.
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TG
Copyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development 1
statIstICs, Data analysIs, anD ProbabIlItyaCtIvIty set #2
NGSSS 4.A.4.2
•Askparticipantstoconsiderthepossibleoutcomesthattheymightexpectiftheyweretoflip2coins, 1 penny and 1 nickel.
•Askthemhowmanyoutcomestherewouldbe.
•DisplayTransparency:TreeDiagram.
•Tracethepathsacrossthetreetoeachpossibleoutcomeforflipping1pennyandthen1nickel.
•Explainthatatreediagramcanbeusedtoshowpossibleoutcomesforeventsthatincludemorechoicesthan2.Onesimplyaddsadditionalbranches to the tree.
•Pointoutthatthelistofelementsattherightshowsthetotalnumberofpossibleoutcomes—inthis case, 4.
•DisplayTransparency:FundamentalPrincipleofCounting.
•Pointouttoparticipantsthatiftherearemoutcomesforthefirsteventand,foreachofthoseoutcomes,there are noutcomesforthesecondevent,thenthereare m•noutcomespossibleinall.
•Pointoutthatthetreediagramshowsthatthereare 2possibleoutcomesforthefirstflip(thepenny):head or tail.
•Explainthatforeachsuccessiveevent(theflipofthenickel)thereare2additionalpossibleoutcomes:heador tail.
•Pointoutthatthissuggeststhattherewillbem•noutcomesor2•2outcomes,4possibleoutcomes in all.
•DisplayTransparency:ModelEPDLE and have participantstakeouttheirmatchingpages.
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TG
Copyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development 2
statIstICs, Data analysIs, anD ProbabIlItyaCtIvIty set #2
Coin 1Possibilities
Flip ItOutcomes
penny:head
penny:tail
penny: headnickel: head
penny: tailnickel: head
penny: headnickel: tail
penny: tailnickel: tail
Coin 1 + Coin 2Possibilities
tree Diagram
McGraw-Hill Professional Development StatiSticS, Data analySiS, anD probability/21
The rightmost line of the tree shows the total number ofpossible outcomes: 4.
Transparency: Tree Diagram
When there are m outcomes for the first event and,for each of those outcomes, there are n outcomes forthe second event, then there are m • n outcomespossible in all.
m events • n events = total possible outcomes
Consider the coin toss.
2 possible outcomes on the first flip (m)times
2 possible outcomes on the second flip (n)
m • n outcomes 4 possible outcomes in all
Fundamental Principle of counting
McGraw-Hill Professional Development StatiSticS, Data analySiS, anD probability/23
Transparency: Fundamental Principle of Counting
StatiSticS, Data analySiS, anD probability—activity Set 2 Trans_K6_SP_02Copyright© 2002 by the McGraw-Hill Companies—McGraw-Hill Professional Development
Exterior Interior Sound System
Model EPD LE
Granite Gray
Gracious Gray
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby®
Elegant Ivory
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Silky Sand
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Forest Green
Gracious Gray
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Elegant Ivory
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Silky Sand
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Burnished Bronze
Gracious Gray
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Elegant Ivory
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Silky Sand
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Model EPD LE
Transparency: Model EPD LE
•Explaintoparticipantsthatthetreediagramrepresents the various selection options available to acustomerwhoisinterestedinpurchasingaspecificmodelofnewcar.
•Pointouthowtoworkdownthetreetoselectanautomobilebymakingonechoicefromeachoptiondisplayed.
•Askparticipantshowmanypossiblecombinationsofexterior/interior/soundsystemsfortheautomobilesaredisplayedbythetree.(36)
•Explainthatthenumbercanbefoundbycountingfromthetreediagram.
•DisplayTransparency:MoreChoices.
•Explaintoparticipantsthatthisissimplyonebranch of the existing tree that has been expanded to include tire choices.
•Pointouttoparticipantshowdifficultitwouldbetoadd this extension to each existing branch of the treediagram.
•PointoutthattheFundamentalPrincipleofCountingwouldallowthemtofindmoreeasilythetotalpossibleoutcomesregardlessofthenumberof options offered.
•Theycan,usingtheFundamentalPrincipleofCounting,countthenumberofchoicesforeachoptionandmultiplythesetogether.
•DisplayTransparency:Counting.
•Writeanequationintheblanksonthetransparencyshowingexteriorchoices(3)timesinteriorchoices(3)timessoundsystemchoices(4)equals36.
•Askhowmanytotalconfigurationswouldbeavailable if 4 tire choices were offered on the car. (33 4 4=144)
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TG
Copyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development 3
statIstICs, Data analysIs, anD ProbabIlItyaCtIvIty set #2
StatiSticS, Data analySiS, anD probability—activity Set 2 trans_K6_SP_02Copyright© 2002 by the McGraw-Hill Companies—McGraw-Hill Professional Development
Exterior Interior Sound System
Model EPD LE
Granite Gray
Gracious Gray
maxi radial all weather all terrain
maxi radial all weather all terrain
maxi radial all weather all terrain
maxi radial all weather all terrain
Tires
radio
radio, CD player
radio, CD player, extra speakers
radio, CD player, extra speakers, Dolby®
More Choices
Transparency: More Choices
StatiSticS, Data analySiS, anD probability—activity Set 2 trans_K6_SP_02Copyright© 2002 by the McGraw-Hill Companies—McGraw-Hill Professional Development
� � � =
Exterior Interior Sound System Tires
radio
radio, CD player
radio, CD player, extra speakers
radio, CD player, extra speakers, Dolby®
maxi
all weather
radial
all terrain
Model EPD LE
Forest Green
Granite Gray
Burnished Bronze
Gracious Gray
Elegant Ivory
Silky Sand
Counting
Transparency: Counting
•DisplayTransparency:NumberCubeTreeDiagram.
•Pointouttoparticipantshowcomplexthediagrambecomes.
•Askparticipantshowmanyoutcomesthereare.SuggestthattheyusetheFundamentalPrincipleofCountingtodeterminetheanswer.(36=6outcomesfornumbercube 1 6outcomesfornumbercube2.)
•AskparticipantstosuggestsomeothersituationsinwhichtheuseoftheFundamentalPrincipleofCountingwouldbehelpful.Somepossibleanswersinclude counting configurations of clothing in a child’s closet(shirts slacks jackets...)anddetermininghowmanyuniquemealscanbeorderedfromamenu.
•DisplayTransparency:FlipItOutcomes.
•Haveparticipantstakeouttheirmatchingpages.
•Suggesttoparticipantsthatthisisanotherwaytodeterminetheoutcomesofflippingtwocoins.
•Tellparticipantsthattheshadedboxesofthegridshows the samplespace,orthepossibleoutcomes.
•Explaintoparticipantsthattheprobabilityofaneventis the chance of that event occurring. Forexample,inthegrid,whatistheprobabilityofpenny:head/nickel:headoccurring?(1chanceout of4possibleoutcomes)
•Pointouthowprobabilitiesarewritten.Theyarewrittenasfractions:Thenumeratorrepresentsthenumberofwaysaspecificevent can occur, and the denominatorrepresentsthenumberofallpossible outcomes.
•Explainthatthissameinformationalsocanbewrittenas1:4,wherethenumber1representsthenumberofways a specific event can occur and the 4 represents thenumberofallpossibleoutcomes.
•Write 14 inthefirstratiocolumn.
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TG
Copyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development 4
statIstICs, Data analysIs, anD ProbabIlItyaCtIvIty set #2
1
12
456
3
2
12
456
3
3
12
456
3
4
12
456
3
5
12
456
3
6
12
456
3
Cube 1 Cube 2 Total
Number Cube Tree Diagram
McGraw-Hill Professional Development StatiSticS, Data analySiS, anD probability/31
Transparency: Number Cube Tree Diagram
Flip it outcomes
McGraw-Hill Professional Development StatiSticS, Data analySiS, anD probability/33
Penny Flip
Nic
kel
Fli
p
Probabilities
Outcome Ratio Decimal Percent
penny: head/nickel: head
penny: head/nickel: tail
penny: tail/nickel: head
penny: tail/nickel: tail
Total
Transparency: Flip It Outcomes
•Write1:4inthesecondratiocolumn(abovetheblackbox).
•Askparticipantsiftheyhaveseenprobabilitieswritteninotherformsaswell.(percentsanddecimals)
•Explainthattheprobability 14 also can be written as 0.25and25%.
•Writethesenumbersinthecorrectcolumns.
•Tellparticipantstodeterminetheprobabilityof:
◆ penny:head/nickel:tail( 14 ,1:4,0.25,25%)
◆ penny:tail/nickel:head( 14 ,1:4,0.25,25%)
◆ penny:tail/nickel:tail( 14 ,1:4,0.25,25%)
•DisplayTransparency:FlipItOutcomes—Pennies.
•Gothroughthesamestepsaswiththeprevious transparency.
•Pointoutthatbecauseorderdoesnotmatterinthisexample(wecannotdistinguishbetweenthepennies),head/tailandtail/headmustbeconsideredtogether.Therefore,weaddtheprobabilitiesforthe 2occurrences.Theprobabilityof1headand1tailbecomes1
4 + 14 , or 1
2 .
•Haveparticipantswritetheratioanddecimalequivalents next to the fractional probabilities on the transparency.
•Pointouttoparticipantsthatineachcolumn,theprobabilitiesofallpossibleoutcomesaddupto1—or100%whenusingpercents.(Addthefractionsor decimalsineachcolumn.)
•Explaintoparticipantsthatbecauseallpossibleoutcomesareequaltothe“whole”samplespace,thefractionalamountsthatexplaineachpossibleoutcomemustalwaysadduptothewhole,or1.
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TG
Copyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development 5
statIstICs, Data analysIs, anD ProbabIlItyaCtIvIty set #2
StatiSticS, Data analySiS, anD probability—activity Set 2 Trans_K6_SP_02Copyright© 2002 by the McGraw-Hill Companies—McGraw-Hill Professional Development
Flip it outcomesPennies
Probabilities
Outcome Ratio Decimal Percent
head/head
head/tail
tail/tail
Total
Head Tail
Ta
ilH
ead
Transparency: Flip It Outcomes—Pennies
•Explaintothegroupthattheyhavebeenconsideringtheoreticalprobability, the possibleoutcomesofanexperiment—inthiscase,4.
•DisplayTransparency:ProbabilityDefinitions.
•Pointouttoparticipantsthatthespinnerisdividedinto2halves—thereare2possibleoutcomes—2colorsonwhichthespinnermayland,andeachoutcomehas an equal chance of occurring.
•Readoverthedefinitionoftheoreticalprobability andpointoutthatbecausethereare2possibleoutcomes,thedenominatorofthefractionis2. Thefavorable,ordesiredoutcome,isyellow—1of the2,1
2 .P(yellow)=12 .
•Readoverthedefinitionofexperimentalprobability—thenumberofactualoutcomesdividedbythe numberoftrials.
•Suggesttoparticipantsthatiftheyweretospinthespinner100times,itmightnotlandonyellowexactly50times.Thenumberoftimesitdoesland onyellowdividedbythenumberoftrials(100) wouldbetheexperimentalprobability.Ifthespinnerlandsonyellow47times,theexperimentalprobability would be 47
100.
•Askparticipantswhatthetheoreticalprobabilityoflandingonredis.(P(red)=1
2 —thereisthesameprobabilityofgettingredasthereisofgettingyellow.)
•Remindparticipantsthatinreality,outcomesseldomexactlymatchtheoreticalprobability.
•Tellparticipantsthatnowtheywilltestthe theoretical probabilities that were just defined.
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TG
Copyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development 6
statIstICs, Data analysIs, anD ProbabIlItyaCtIvIty set #2
StatiSticS, Data analySiS, anD probability—activity Set 2 Trans_K6_SP_02Copyright© 2002 by the McGraw-Hill Companies—McGraw-Hill Professional Development
Theoretical Probability—the number of favorableoutcomes divided by the number of possibleoutcomes. P(yellow) = 12. (This may also be written as the ratio 1:2.)
Experimental Probability—the number of actualoutcomes divided by the number of trials.
Probability Definitions
Transparency: Probability Definitions
DIsCuss anD Do
•Askparticipantstoworkinpairsandtotakeouttheir FlipItDatapages.
•DisplayTransparency:FlipItData.
•Haveeachpairflip1pennyandthen1nickel.
•Havethemrecordatallymarkonthedatasheetundertheappropriateoutcome.
•Haveparticipantsrepeatthisprocedure9moretimes.
•Haveparticipantswritethetotalnumberoftalliesineachcolumnaftertheyhavecompleted10flips.
•Call the group together.
•DisplayTransparency:FlipItDataSummary.
•Collectthesummarynumbersfromthefirst5groups.Enterthesenumbersonthesummarytransparency.
•Addthesubtotalsandshowthemasthenumeratorson the transparency.
•Pointoutthatthesenumbersrepresenttheexperimentaloutcomes.
•Askparticipantswhatthetheoreticalprobabilitieswerefortheseoutcomes.
◆ penny:head/nickel:head
◆ penny:head/nickel:tail
◆ penny:tail/nickel:head
◆ penny:tail/nickel:tail
•Ifparticipantsdonotremember,redisplayTransparency:FlipItOutcomes.
•Comparethesefractionswiththetheoreticalprobabilities,emphasizingplaceswheretheydo notmatch.
•Addthedatafromthenext5groupsandrepeattheprevious steps.
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TG
Copyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development 7
statIstICs, Data analysIs, anD ProbabIlItyaCtIvIty set #2
Flip it Data
McGraw-Hill Professional Development StatiSticS, Data analySiS, anD probability/39
Penny: Head/ Penny: Head/ Penny: Tail/ Penny: Tail/Nickel: Head Nickel: Tail Nickel: Head Nickel: Tail
Total Numberof Tallies
Transparency: Flip It Data
Flip it outcomes
McGraw-Hill Professional Development StatiSticS, Data analySiS, anD probability/33
Penny Flip
Nic
kel
Fli
p
Probabilities
Outcome Ratio Decimal Percent
penny: head/nickel: head
penny: head/nickel: tail
penny: tail/nickel: head
penny: tail/nickel: tail
Total
Transparency: Flip It Outcomes
StatiSticS, Data analySiS, anD probability—activity Set 2 Trans_K6_SP_02Copyright© 2002 by the McGraw-Hill Companies—McGraw-Hill Professional Development
Flip it Data summary
Penny: Head/ Penny: Head/ Penny: Tail/ Penny: Tail/
Nickel: Head Nickel: Tail Nickel: Head Nickel: Tail
Group 1
Group 2
Group 3
Group 4
Group 5
subtotal oftallies over
50
Group 6
Group 7
Group 8
Group 9
Group 10
subtotal oftallies
(If all 10 groups,then show
n100 .)
Group 11
Group 12
Group 13
Group 14
Group 15
total Number of tallies
(Multiply thetotal number
of groups by 10 and
make this thedenominator.)
100 100 100 100
xxx xxx xxx xxx
50 50 50 50
Transparency: Flip It Data Summary
◆ Addalltheresults.
◆ Comparefractionstotheoreticalprobabilities.
•Pointoutthatasthenumberofexperimentalresultsincreases,itismorelikelythattheresultswillbecloser to the theoreticalprobability.
•Repeatwiththeremaininggroups.
ConCluDe
•Askparticipantstodefinethefollowing:
◆ theoreticalprobability—thechanceofaneventoccurringorthenumberoffavorableoutcomesdivided by the numberofpossibleoutcomes
◆ experimentalprobability—thenumberofactual outcomesdividedbythenumberoftrials
◆ outcome—theresultofanexperiment;ageneric element
◆ event—aspecificoutcome
◆ trial—eachrepetitionofanexperiment
•Clarifyanymisconceptions.
•Explaintoparticipantsthatthetermssuccessfuloutcomeandfavorableoutcome refer only to the occurrenceoftheeventthatisbeingconsidered.Forexample,ifyouwantanoutcomeofhead/head,thengettinghead/headwouldbeafavorableoutcome.Neithertermimpliesquality.
end of Flip It
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_TG
Copyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development 8
statIstICs, Data analysIs, anD ProbabIlItyaCtIvIty set #2
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
Coin 1Possibilities
Flip ItOutcomes
penny:head
penny:tail
penny: headnickel: head
penny: tailnickel: head
penny: headnickel: tail
penny: tailnickel: tail
Coin 1 + Coin 2Possibilities
Tree Diagram
The rightmost line of the tree shows the total number of possible outcomes: 4.
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
When there are m outcomes for the first event and, for each of those outcomes, there are n outcomes for the second event, then there are m • n outcomes possible in all.
m events • n events = total possible outcomes
Consider the coin toss.
2 possible outcomes on the first flip (m)times
2 possible outcomes on the second flip (n)
m • n outcomes 4 possible outcomes in all
Fundamental Principle of Counting
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
Exterior Interior Sound System
Model EPD LE
Granite Gray
Gracious Gray
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby®
Elegant Ivory
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Silky Sand
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Forest Green
Gracious Gray
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Elegant Ivory
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Silky Sand
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Burnished Bronze
Gracious Gray
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Elegant Ivory
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Silky Sand
radio radio, cd player radio, cd player, extra speakers radio, cd player, extra speakers, Dolby
Model EPD LE
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StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
1
12
456
3
2
12
456
3
3
12
456
3
4
12
456
3
5
12
456
3
6
12
456
3
Cube 1 Cube 2 Total
Number Cube Tree Diagram
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
Flip It Outcomes
Penny Flip
Nic
kel
Fli
p
Probabilities
Outcome Ratio Decimal Percent
penny: head/nickel: head
penny: head/nickel: tail
penny: tail/nickel: head
penny: tail/nickel: tail
Total
Flip It Outcomes
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
Flip It OutcomesPennies
Probabilities
Outcome Ratio Decimal Percent
head/head
head/tail
tail/tail
Total
Head Tail
T
ail
H
ead
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
Theoretical Probability—the number of favorable outcomes divided by the number of possible outcomes. P(yellow) = 12. (This may also be written as the ratio 1:2.)
Experimental Probability—the number of actual outcomes divided by the number of trials.
Probability Definitions
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StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
Flip It Data Summary
100 100 100 100
xxx xxx xxx xxx
50 50 50 50
n
Penny: Head/ Penny: Head/ Penny: Tail/ Penny: Tail/
Nickel: Head Nickel: Tail Nickel: Head Nickel: Tail
Group 1
Group 2
Group 3
Group 4
Group 5
Subtotal of Tallies over 50
Group 6
Group 7
Group 8
Group 9
Group 10
Subtotal of Tallies (If all 10 groups, then show
100 .)
Group 11
Group 12
Group 13
Group 14
Group 15
Total Number of Tallies (Multiply the total number of groups by 10 and make this the denominator.)
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
GlossaryStatistics, Data Analysis, and Probability
bar graph A graph in which information is shown using rectangular bars or objects.
circle graph A graph in which information is shown as parts of a circle.
dependent event An event in which the outcome is affected by the outcome of a previous event.
event A specific outcome of an experiment.
experimental probability In an experiment, the ratio of actual outcomes to the number of possible outcomes.
frequency chart A data chart that shows the number of times that each item or number appears.
independent event An event in which the outcome is not affected by the outcome of a previous event.
mean The sum of a set of numbers divided by the number of numbers in the set; average (e.g., in the set {7, 3, 2, 4}, sum = 16 and mean = 16
4 = 4).
measures of central tendency Mean, median, and mode.
StatiSticS, Data analySiS, anD probability—activity Set 2 Int_DAP_02_PMCopyright© by the McGraw-Hill Companies—McGraw-Hill Professional Development
median In an odd set of ordered numbers, the middle number (e.g., {2, 3, 9, 12, 16}, median = 9); in an even set of ordered numbers, the average of the two middle numbers (e.g., {2, 3, 9, 11, 12, 16}, median = 10).
mode The number or element that occurs most frequently in a set of data (e.g., {2, 3, 4, 3, 1, 3, 2}, mode = 3).
outcome The result of an experiment.
probability The chance of an event occurring.
range The difference between the greatest and least values in a data set.
sample A subset of items taken at random from a complete set.
sample space The set of all possible outcomes.
sampling The method or process used to collect a sample.
statistics The use of mathematics to analyze a collection of quantitative data.
theoretical probability The ratio of the number of favorable outcomes to the total number of possible outcomes.
Glossary (continued)