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NAME:___________________________ Math 7.2, Period ____________ Mr. Rogove Date:__________ Linear Functions and Statistics Study Guide 1 Statistics Study Guide Instructions: This study guide covers the material that will be on our next test covering mostly statistics. Do your best and turn in the completed study guide when you take your test. Thanks! SCATTER PLOT A scatter plot is a graph of bivariate numerical data. Patterns in Scatter Plots: If you can see the value of one variable tend to vary in a predictable way as the values of the other variable changes, there is a statistical relationship. Linear Relationship: If the data looks like it is varying along a straight line, we can say there is a linear relationship. Non-Linear Relationship: If the data is varying along a curve, or a pattern other than a straight line, it is said to be non- linear. Positive Trend: if the data move in a pattern up and to the right, there is a positive trend. Negative Trend: If the data move in a pattern down and to the left, there is a negative trend. Linear Relationship Chest Girth (cm) Weight (kg) 170 160 150 140 130 120 110 100 90 0 350 300 250 200 150 100 0 Non Linear Relationship Shell Length (mm) Age (years) 150 125 100 75 50 25 0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Positive trend in the data x y 350 300 250 200 150 100 50 0 5 4 3 2 1 0 Negative trend in the data x y 35 30 25 20 15 10 5 0 6 5 4 3 2 1 0

G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

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Page 1: G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

NAME:___________________________ Math7.2,Period____________

Mr.Rogove Date:__________

LinearFunctionsandStatisticsStudyGuide1

Statistics Study Guide

Instructions:Thisstudyguidecoversthematerialthatwillbeonournexttestcoveringmostlystatistics.Doyourbestandturninthecompletedstudyguidewhenyoutakeyourtest.Thanks!

SCATTER PLOT Ascatterplotisagraphofbivariatenumericaldata.PatternsinScatterPlots:Ifyoucanseethevalueofonevariabletendtovaryinapredictablewayasthevaluesoftheothervariablechanges,thereisastatisticalrelationship.LinearRelationship:Ifthedatalookslikeitisvaryingalongastraightline,wecansaythereisalinearrelationship.

Non-LinearRelationship:Ifthedataisvaryingalongacurve,orapatternotherthanastraightline,itissaidtobenon-linear.

PositiveTrend:ifthedatamoveinapatternupandtotheright,thereisapositivetrend.

NegativeTrend:Ifthedatamoveinapatterndownandtotheleft,thereisanegativetrend.

LinearRelationship

Chest Girth (cm)

Wei

ght

(kg)

170160150140130120110100900

350

300

250

200

150

100

0

NonLinearRelationship

Shell Length (mm)

Age

(ye

ars)

1501251007550250

4.5

4.0

3.5

3.0

2.5

2.0

1.5

1.0

0.5

0.0

Positivetrendinthedata

x

y

350300250200150100500

5

4

3

2

1

0

Negativetrendinthedata

x

y

35302520151050

6

5

4

3

2

1

0

Page 2: G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

NAME:___________________________ Math7.2,Period____________

Mr.Rogove Date:__________

LinearFunctionsandStatisticsStudyGuide2

IndependentVariable:thisistheexplanatoryvariableorthepredictorvariable.Thisisthevariablethatisnotchangedbytheactionoftheothervariables.Thisisthex-value,onthehorizontalaxis.DependentVariable:Thisisresponsevariableorthepredictedvariable.Thisisthevariablethatyouaretryingtomakepredictionsabout.Thisisthey-valueontheverticalaxis.Independentv.DependentVariable:Wecanusetheinformationabouttheindependentvariabletomakepredictionsaboutthevaluesofthedependentvariable(y-axis).LineofBestFit:Thisisastraightlinethatrepresentsthetrendinthedata.Thelineofbestfitshouldbedrawnasclosetoasmanypointsonthegraphaspossible.Wecanwriteanequationforthislinebyidentifyingtwopointsontheline,findingaslopeanday-intercept.Theslopeofthelineofbestfitmeasurestheimpactthattheexplanatoryvariablehasontheresponsevariable.They-interceptisthevalueoftheresponsevariablewhentheexplanatoryvariablehasnoeffect.Inlinearmodels,they-interceptmightnotmakesenseinthecontextoftherealworldsituation.

Page 3: G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

NAME:___________________________ Math7.2,Period____________

Mr.Rogove Date:__________

LinearFunctionsandStatisticsStudyGuide3

BIVARIATE CATEGORICAL DATA AND TWO WAY TABLES

CategoricalVariables:Variablesthatrepresentdataevaluatedusingspecificcategoriesordescriptions.BivariateCategoricalDataisorganizedandsummarizedinatwo-wayfrequencytable.

RelativeFrequency:Adescriptionofthefrequencyoftheoccurrencesofeachofthepiecesofcategoricaldatainrelationtothewhole.Thisisaproportionmeasuredbythefollowingfraction:!"#$%#&'(

!"!#$.

Example:TheproportionofallstudentswhoaremaleANDpreferredsaltysnacksis!"!"or0.17

RowRelativeFrequency:Adescriptionofthefrequencyoftheoccurrencesofpiecesofcategoricaldatainrelationtothetotalofarow.Thisisaproportionmeasuredbythefollowingfraction:!"#$%#&'(

!"# !"!#$.

Example:Theproportionoffemalestudentswholikehealthyfoodis!"!"or0.25.

ColumnRelativeFrequency:Adescriptionofthefrequencyoftheoccurrencesofpiecesofcategoricaldatainrelationtothetotalofacolumn.Thisisaproportionmeasuredbythefollowingfraction: !"#$%#&'(

!"#$%& !"!#$.

Example:Ofthestudentswholikecandybarstheproportionofthemwhoareboysis !

!!or0.82.

FavoriteSnack

CandyBar

BakedGoods

Salty Spicy Healthy Total

Gender Male

9 10 15 5 8 47

Female

2 13 14 1 10 40

Total

11 23 29 6 18 87

Page 4: G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

NAME:___________________________ Math7.2,Period____________

Mr.Rogove Date:__________

LinearFunctionsandStatisticsStudyGuide4

ProblemSet.2.BelowisdatathatmeasuresminutesNicoleplayedinbasketballgamesandthenumberofpointsshescored.

MinutesPlayed

PointsScored

MinutesPlayed

PointsScored

15 7 12 818 12 23 169 6 15 1221 14 10 14

a.Drawascatterplotofthedataaboveinthespaceprovidedbelow.Clearlylabelyourgraph.b.Whatpattern(s)doyounoticeinthedata?Linearpositiverelationship.It’salsoproportionalsinceitgoesthroughtheorigin.c.Drawalineofbestfitonthegraphabove.Writetheequationforthelinebelow.Showhowyoudeterminedtheequationusingcalculations.Ithinkareasonablelineofbestfitwouldgothrough 12,8 and 18, 12 ,andsotheslopeofthatlinewouldbe !"!!

!"!!"= !

!= !

!,whichwouldmaketheequation𝑦 = !

!𝑥 +

𝑏…substitutein 12, 8 𝑓𝑜𝑟 𝑥 and 𝑦 and you get 8 = !!12 + 𝑏, 𝑏 = 0

Equationis𝑦 = !

!𝑥

d.VerballydescribetherelationshipbetweenthenumberofminutesNicoleplaysandthenumberofpointsshescores.Whatdoestheslopemeaninthecontextofthesituation?Theslopeis2/3whichmeansthatwillscoreabout2pointsforevery3minutessheplays,or2/3orapointperminute.

Time(inminutes)

Points

Page 5: G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

NAME:___________________________ Math7.2,Period____________

Mr.Rogove Date:__________

LinearFunctionsandStatisticsStudyGuide5

3.ThetableshowsthenumberofactivewoodpeckerclustersinapartoftheDeSotoNationalForestinMississippi.Year 2005 2006 2007 2008 2009 2010 2011 2012 2013ActiveClusters

22 24 27 27 34 40 42 45 51

a.Createascatterplotofthedata.Representthex-axisasthenumberofyearssince2005.b.Onereasonablelineofbestfitgoesthroughthe2007and2011data.Findtheequationofthatline.The2007datais 2, 27 andthe2011datais 6, 42 …sowefindslope:!"!!"

!!!= !"

!.

Now,tofindy-intercept,pluginacoordinateandtheslope:𝑦 = 𝑚𝑥 + 𝑏 27 = 2 !"

!+ 𝑏

27 = !"

!+ 𝑏 à𝑏 = !"

!

𝒚 =𝟏𝟓𝟒 𝒙+

𝟑𝟗𝟐

c.Predictthenumberofactiveclustersin2020.2020is15since2005,sothex-valuewouldbe15…weneedtofindywhen𝑥 = 15.

𝑦 =154 15 +

392

𝑦 =2254 +

784 𝑦

=3034 = 75

34

Thereshouldbeabout76activeclustersin2020.

Yearssince2005

ActiveClusters

Page 6: G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

NAME:___________________________ Math7.2,Period____________

Mr.Rogove Date:__________

LinearFunctionsandStatisticsStudyGuide6

4.Asurveywasconductedof400peoplethataskedthemquestionsabouttheirgenderandtheirpreferredfootwear.Someoftheresultsareasfollows:• 240peoplesurveyedwerefemale.

• 160peoplesurveyedpreferredsneakers.

• 80peoplesurveyedpreferredheels • 40peoplesurveyedpreferredsandals

• 60femalespreferredsneakers • 78femalespreferredheels• 32malespreferredsandals a.Completethetwo-wayfrequencytablethatsummarizesthedataonfootwearandgender.

FootwearPreference Sneakers Heels Sandals Flats/Dress

ShoesTotal

Female 60 78 8 94 240

Male 100 2 32 26 160

Total 160 80 40 120 400

b.Whatproportionoftheparticipantsisfemale?240/400or.60c.Iftherewerenoassociationbetweengenderandfootwearpreference,shouldyouexpectmorefemalesthanmalestoprefersneakersorfewerfemalesthanmalestoprefersneakers?Iwouldexpectmorefemalestoprefersneakersbecausetherearemorefemalessurveyed.d.Makeatableoftherowrelativefrequenciesofeachfootweartypeforthemaleandfemalerow.

FootwearPreference Sneakers Heels Sandals Flats/Dress

ShoesTotal

Female .25 .33 .03 .39 1.00

Male .63 .01 .20 .16 1.00

Total .40 .20 .10 .30 1.00

e.Ifyouchoseasurveyparticipantatrandom,whatkindoffootwearwouldyouexpectthemtoprefer?Explain.Sneakersbecausetheyarethemostpopularoverall.160studentsprefersneakers.f.Ifyouknowthattherandomlyselectedparticipantwasafemale,wouldthischangethepredictionfrompart(e)?Whyorwhynot?Whatassociationscanyoucanmakebetweenthevariables?Yes,itwouldprobablybeflatsordressshoes.Morethanyou’dthink,womenpreferflat/heels.

Page 7: G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

NAME:___________________________ Math7.2,Period____________

Mr.Rogove Date:__________

LinearFunctionsandStatisticsStudyGuide7

5.Asurveyof587thgradestudentswasconductedthataskedmanyinterestingquestionsaboutgenderandsalsapreference.Someresultsareasfollows:• 12studentstotallikedhotsalsa

• 11studentslikedmediumsalsa

• 13boyslikemildsalsa

• 6boysdon’tlikesalsaatall

• 15studentsdon’tlikesalsa

• Only2girlslikemediumsalsa

• 9boyslikehotsalsa

a.Completethetwo-wayfrequencytablethatsummarizesthedataonsalsapreferenceandgender. SalsaPreference

Nosalsa Mild Medium Hot Total

Male 6 13 9 9 37

Female 9 7 2 3 21

Total 15 20 11 12 58

b.Whatproportionoftheparticipantsarefemaleswholikedonotlikesalsaatall?9/58or.16c.Iftherewerenoassociationbetweengenderandsalsapreference,wouldyouexpecttofindthatmoregirlsdonotlikesalsaormoreboysdonotlikesalsa?Explainyouranswer.Iwouldexpectthatmoreboyswouldn’tlikesalsabecausetherearemoreboyssurveyedoverall.d.CreateaROWrelativefrequencytableofvaluesforsalsapreferenceforeachgender. SalsaPreference

Nosalsa Mild Medium Hot Total

Male .16 .35 .24 .24 1.00

Female .43 .33 .10 .14 1.00

Total .26 .35 .19 .21 1.00

e.Arethereanyassociationsyoucanmakebetweensalsapreferenceandgender?Whatarethey?Itlookslikethere’sanassociationbetweengenderandthosedonotlikesalsa—ifyoudon’tlikesalsayou’remorelikelytobeagirl.Whilenotasstrong,therelookstobeanassociationbetweengenderandmediumandhotinthatboysaremorelikelythangirlstolikemediumandhotsalsa.

Page 8: G8M6 KEY Study Guide Statisticsmrrogove.weebly.com/.../g8m6_key_study_guide_statistics.pdf · 2018. 9. 11. · NAME:_____ Math 7.2, Period _____ Mr. Rogove Date:_____ 1 Linear Functions

NAME:___________________________ Math7.2,Period____________

Mr.Rogove Date:__________

LinearFunctionsandStatisticsStudyGuide8

6.Inthesamesurveyweaskedstudentsabouttheamountofsleeptheygotandthetimetheywenttobed.Belowaretheresultsinatwowaytable. BEDTIME

Between

8PM-9PM

Between

9-10PM

After10PM Total

Sleep

each

night

Lessthan6 0 0 1 1

Between6and

8

2 18 7 27

Morethan8 8 21 1 30

TOTAL 10 39 9 58

a.Makeaconclusion(basedonmath)abouttheassociationbetweengoingtobedafter10PMandgettinglessthan8hoursofsleep.Writeafewsentencesexplainingyourthoughts.Ifyougotobedafter10PM,you’remorelikelytogetlessthan8hoursofsleep.Whilelessthanhalfofallrespondents(28/58)reportedgettinglessthan8hoursofsleep,thosewhowenttobedafter10PMoverwhelmingly(8/9)gotlessthan8hoursofsleep.b.CreateaCOLUMNrelativefrequencytablebelow BEDTIME

Between

8PM-9PM

Between

9-10PM

After10PM Total

Sleep

each

night

Lessthan6 0 0 .11 .02

Between6and

8

.20 .46 .78 .46

Morethan8 .80 .54 .11 .52

TOTAL 1 1 1 1

c.Basedonyourcolumnrelativefrequencytable,forwhichbedtimecategoryistheretheleastassociationwiththeamountofsleep?Explainthis.Becausethe9-10PMbedtimerelativefrequenciesmostcloselyresemblethetotalrelativefrequency,Iwouldsaythatcolumnhastheleastassociation…Ifyougotobedbetween9-10PM,itprovideslittleinformationonhowmanyhoursofsleepyoumightget.