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## Statistics 240, Week 2 Notes

by: Vanessa Olivo

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# Statistics 240, Week 2 Notes JUST 240_04

Vanessa Olivo
MSU
GPA 3.6

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Chapter 3: Organizing, Displaying, and Presenting Data
COURSE
Statistics for Social Research
PROF.
Venezia Michalsen
TYPE
Class Notes
PAGES
2
WORDS
CONCEPTS
Stats, 240
KARMA
25 ?

## Popular in Justice Studies

This 2 page Class Notes was uploaded by Vanessa Olivo on Monday September 19, 2016. The Class Notes belongs to JUST 240_04 at Montclair State University taught by Venezia Michalsen in Fall 2016. Since its upload, it has received 50 views. For similar materials see Statistics for Social Research in Justice Studies at Montclair State University.

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Date Created: 09/19/16
Chapter3:Organizing,Displaying,andPresentingData DataDistributions:Frequencies,Proportions,andPercentages • Uni variate(Onevariable) • Countsorfrequencyisthenumberoftimesaparticularcharacteristicappearsinadataset o Ex.24peopleinaclassroom.22peoplehaveiphoneswhereastheother2haveandroids.The frequencyforiphonewouldbe22andthefrequencyforandroidwouldbe2. • Proportionisaformoffrequencythatrangefrom0.00to1.00 o Usingtheexamplelistedaboveofiphonesandandroid,theproportionoftheiphoneis.92 (numberoffrequency(22)dividedbythetotalsamplesize(24) ▯▯▯▯▯▯▯▯▯ o Formulais???????????????????????????????????????? = ▯▯▯▯▯▯▯ ▯▯▯▯▯▯ ▯▯▯▯ • Percentageisaformoffrequencythatrangesfrom0.00to100.00 o Usingtheexamplelistedaboveofiphonesandandroid,thepercentageoftheiphonewouldbe 92%(numberofproportion(.94)times(x)100).Thepercentageoftheandroidwouldbe8% (numberofproportion(.08)times(x)100). ▯▯▯▯▯▯▯▯▯ o Formulais???????????????????????????????????????????? = × 100 or???????????????????????????????????????????? = ▯▯▯▯▯▯▯ ▯▯▯▯▯▯ ▯▯▯▯ ????ℎ???? # ???????????????????????????????????????????????? × 100 • Cumulative o Afrequency,proportion,orpercentageobtainedbyaddingagivennumbertoallnumbersbelow it v Example: Mostseriousarrestcharge f cf p cp pct cpct Violentoffense 13,938 13,938 .025(13,938/55,903) 0.25(13,938/55,903) 24.93(13,938/55,903x100) 24.93 Propertyoffense 16,241 30,179(add13,938+16,241) .29(16,241/55,903) .54(30,179/55,903) 29.05(16,241/55,903x100) 53.98 DrugOffense 18,220 48,399(add30,179+18,220) .33(18,220/55,903) .87(48,399/55,903) 32.59(18,220/55,903x100) 86.57 Public-OrderOffense 7,504 55,903(add48,399+7,504) .13(7,504/55,903) 1.00(55,903/55,903) 13.42(7,504/55,903x100) 99.99 N= 55,903 1.00(totalof^) 99.99(totalof^) v Forcpctviolentoffense:(13,938/55,903x100),propertyoffense:(30,179/55,903x100), drugoffense:(48,399/55,903x100),public-orderoffense:(55,903/55,903x100) v Don’tforgettoroundupifits5orhigher!!! • Bivariate(Twovariables) GraphsandCharts • Whatisthebestwaytopresentmydata? • Considerthelevelofmeasurementb/citisimportanttodiscoverwhichgraphyouwilluse • Presentitinawaythatmakessensetopeople • Allthesedifferentlevelofmeasurement(nominal,ordinal,interval,ratio)canbedisplayedindifferent forms CategoricalVariables • Nominalandordinallevelofmeasurement o PieCharts v Haverelativelyfewclasses(groupsorcategories) v Fiveorfewerclasses o BarGraphs v Canaccommodatevariableswithmanyclasses(groupsorcategories) v Moreflexiblethanpiecharts v 6ormoreclasses ContinuousVariables • Ratiolevelofmeasurement o Histograms v Barstouchoneanotherunlikebargraphs v Theabsenceofspacerepresentsthecontinuousnatureofthedatapresented v Adjacent v Quantitative o LineGraph

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