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N6208 Assignment 8 Chapter 8 Chi-Square I. Calculate the chi-square statistic and degrees of freedom for the following set of data for 200 elders exposed

N6208 Assignment 8 Chapter 8 Chi-Square I. Calculate the chi-square statistic and degrees of freedom for the following set of data for 200 elders exposed to different interventions to encourage flu shots: Flu Shot Status Group A Group B Total Had a flu shot 20 45 65 Did not have a flu shot 80 55 135 Total 100 100 200 (Calculate the expected first and then the chi-square value. i.e,, for cell A, the expected=65X100/200=32.50) (Display results to two decimal points) 1) Write a null and alternative hypothesis 2) What is the value of chi-square? (show calculation) 3) What is the df? 4) Is the value of chi-square statistically significant at the .05 level? What is your conclusion about the study? 5) What is the absolute risk (AR) for group A and group B? What is the relative risk? 6) Using the chi-square value, compute Cramer's V statistic (or phi). II. Given each of the following situations, determine whether the calculated values of chi-square are statistically significant: a) 2 = 3.72, df = 1, = .05 b) 2 = 9.59, df = 4, = .05 c) 2 = 10.67, df = 3, = .01 d) 2 = 9.88, df = 2, = .01 III. Using the information provided, indicate which test you think should be used for each of the following situations: 1) Independent variable: Infertility treatment A vs. infertility treatment B vs. control condition; dependent variable: did vs. did not become pregnant; sample size: 180. 2) Independent variable: Drug A vs. Drug B vs. placebo; dependent variable: pain measured on a 0 to 10 scale; sample size: 50 per group. 3) Independent variable: gender (male versus female); dependent variable: preference for nursing home placement versus home care for parent. IV. Use the SPSS dataset Polit2SetB. Begin by running a crosstab (Analyze Descriptive Statistics Crosstabs) for the variables bmicat and hlthlimit. The first is a variable that uses the women's body mass index (BMI), computed from their height and weight, to form four groups: those classified in the normal BMI range (values under 25.0), overweight (values from 25.0 to 29.99), obese (values from 30.0 to 40.0), and morbidly obese (values over 40.0). The second variable is dichotomous responses to whether or not the woman had a health condition that limited her ability to work (yes is coded 1, no is coded 0). In the first dialog box for the Crosstabs, enter hlthlimit as the row variable and bmicat as the column variable. Click the pushbutton for Cells, and select Observed, Expected, and Row and Column percentages. Click on Continue, then open the dialog box for Statistics. Select Chi-square and also Phi and Cramer's V. Then click Continue and OK to initiate the analysis. Answer the following questions about the output: 1) How many normal-weight women were expected to have a health limitation, if BMI and health limitations were unrelated? How many actually did have a limitation? What are the two values for women who were morbidly obese? 2) What percent of all women had a health condition that limited their ability to work? 3) What is the null hypothesis being tested in this analysis? 4) What is the value of the chi-square statistic? 5) What is the degree of freedom? 6) Are the results statistically significant for = .05? At what level (actual p value)? 7) Comment on the nature of the relationship. 8) What is the value of Cramer's V? 9) Attach the SPSS output. $FL2@(#) IBM SPSS STATISTICS 64-bit Macintosh 24.0.0.0 ########################Y@31 Mar 1717:19:51 ###########################ID ####Identification Number ########################AGE %###Respondent's age at time of interview ########################AGE1BIR ####Age at first birth ########################RACETHN ####Race/ethnicity #######@###### @########################EDUCATN ####Educational attainment #######@########################WORKNOW ####Currently employed? #######@########################MARITAL ####Current marital status #######@###### @########################KIDSHH &#### of R's children living in hh past mo ########################POVERTY ####Poverty status ########################ERVISIT ####Number of ER visits, past 12 mo #####(@#####0@########################DOCVISIT####Number of doctor visits, past 12 mo #####(@#####0@########################HCSATISF3###How satisfied w/ quality of health care-past 12 mo? #######@###### @########################NOINSUR !###Has no health insurance currently #######@########################MONNOINS'###Number of months uninsured, past 12 mos ########################SMOKER ####Currently smokes? ########################HEIGHT ####Height in inches#####@X@#####X@########################WEIGHT ###Weight-pounds #####(@#####0@########################BMI ####Body Mass Index ########################BMICAT ###BMI category########################STRESSED####Frequency of high stress-past month #######@###### @####################HLTHLIMT!###Health condition limits R working #######@###### @########################PREGNOW ####Currently pregnant #######@###### @########################BIRTHS ####Number of live births #####@X@#####X@########################MISCARR ####Number of miscarriages #####@X@#####X@########################ABORTS ####Number of abortions #####@X@#####X@########################TOTPREGS####Total # of pregnancies #####@X@#####X@########################DRUNK ####How often got drunk-past month #######@###### @########################USEDPOT %###How often smoked marijuana past month #######@###### @########################USEDCRCK'###How often used cocaine/crack-past month #######@###### @########################USEDHER (###How often used heroin,PCP,ice-past month#######@###### @########################SF12#1 2###R overall rating of own health (SF12 #1, physical) #######@###### @########################SF12#2 <###Health limits moderate daily activities? (SF12 #2, physical)#######@###### @####################SF12#3 9###Health limits climbing flghts stairs? (SF12 #3, physical) #######@###### @####################SF12#4 A###Accomplsh LT want in activ, phys hlth reasons (SF12 #4, physical) #######@###### @####################SF12#5 8###Limited in kind of activ done past mo (SF12#5, physical)#######@###### @####################SF12#6 A###Accomplsh LT want in activ, mental hlth reasons (SF12 #6, mental) #######@###### @####################SF12#7 7###Perfm actv less carefully, MH reasons (SF12 #7, mental) #######@###### @####################SF12#8 <###Extent pain interfere w/work in/out home (SF12 #8, physical)#######@###### @####################SF12#9 3###Freq/past mo felt calm & peaceful (SF12 #9, mental) #######@###### @####################SF12#10 3###Freq/past mo felt very energetic (SF12 #10, mental) #######@###### @####################SF12#11 )###Freq/past mo felt down (SF12 #11, mental) #######@###### @####################SF12#12 :###Freq phys/emot hlth intrfer w/soc activ (SF12 #12, mental) #######@###### @########################HEALTH ####Health status, self-reported#######@###### @########################SF12PHYS3###SF12: Physical Health Component Score, standardized ########################SF12MENT1###SF12: Mental Health Component Score, standardized ##############?#Black, not Hispanic #######@#Hispanic #######@#White, not Hispanic #######@#Other #######@#Refused###### @#Not sure ##########################?#No high school diploma #######@#Diploma or GED #######@ AA degree #######@ BA degree #######@#Refused#############################No ######?#Yes #######@#Refused##########################?#Married#######@ Separated #######@#Divorced #######@#Widowed#######@Never married #######@#Refused###### @ Don't know ##########################?Below poverty #######@Above poverty ######## ################(@#Refused#####0@#DK ######## #####################?#Very satisfied #######@#Somewhat satisfied #######@#Somewhat dissatisfied #######@#Very dissatisfied #######@#No healthcare/past yr. #######@#Refused###### @#DK/Can't recall######## ####################Has health insurance ######? No insurance ############################No ######?#Yes #######@#Refused###### @#DK ################"#######$### %################@X@#Refused#####X@#DK ##########################################?#Normal, BMI < 25 #######@#Overweight, BMI 25-30 #######@#Obese, BMI 30-40 #######@#Morbidly obese, BMI >40##########################?#None of the time #######@#Some of the time #######@#Much of the time #######@#Almost all the time #######@#Refused###### @#DK #############################No ######?#Yes #######@#Refused###### @ Don't know ##########################?#Never #######@Once or twice #######@ 3-5 times #######@ 5-10 times #######@ 10+ times #######@#Refused###### @#DK ######################################? Excellent #######@ Very good #######@#Good #######@#Fair #######@#poor #######@#Refused###### @#DK ##########################?#Yes, limited a lot #######@#Yes, limited a little #######@#No, not limited#######@#Refused###### @#DK ######## ###! #################? Not at all #######@#A little #######@ Moderately #######@#Quite a bit #######@ Extremely #######@#Refused###### @#DK ########&#################?#None of the time #######@#Little of the time #######@#Some of the time #######@#Most of the time #######@#All of the time#######@#Refused###### @#DK ########'###(###)###*####################Fair or poor health ######?#Good to excellent health #######@#Refused###### @#DK ########+################################################################  ############ ################################################ ################################################################################ ################################################################################ ################################################################################ ################################################################################ ################################################################################ ################################################################################ #############################ID=id AGE=age AGE1BIR=age1bir RACETHN=racethn EDUCATN=educatn WORKNOW=worknow MARITAL=marital KIDSHH=kidshh POVERTY=poverty ERVISIT=ervisit DOCVISIT=docvisit HCSATISF=hcsatisf NOINSUR=noinsur MONNOINS=monnoins SMOKER=smoker HEIGHT=Height WEIGHT=Weight BMI=bmi BMICAT=bmicat STRESSED=stressed HLTHLIMT=hlthlimt PREGNOW=pregnow BIRTHS=births MISCARR=miscarr ABORTS=aborts TOTPREGS=totpregs DRUNK=drunk USEDPOT=usedpot USEDCRCK=usedcrck USEDHER=usedher SF12#1=sf12#1 SF12#2=sf12#2 SF12#3=sf12#3 SF12#4=sf12#4 SF12#5=sf12#5 SF12#6=sf12#6 SF12#7=sf12#7 SF12#8=sf12#8 SF12#9=sf12#9 SF12#10=sf12#10 SF12#11=sf12#11 SF12#12=sf12#12 HEALTH=health SF12PHYS=sf12phys SF12MENT=sf12ment##############################################id: $@Role('0' )/age:$@Role('0' )/age1bir:$@Role('0' )/racethn:$@Role('0' )/educatn:$@Role('0' )/worknow:$@Role('0' )/marital:$@Role('0' )/kidshh:$@Role('0' )/poverty:$@Role('0' )/ervisit:$@Role('0' )/docvisit:$@Role('0' )/hcsatisf:$@Role('0' )/noinsur:$@Role('0' )/monnoins:$@Role('0' )/smoker:$@Role('0' )/Height:$@Role('0' )/Weight:$@Role('0' )/bmi:$@Role('0' )/bmicat:$@Role('0' )/stressed:$@Role('0' )/hlthlimt:$@Role('0' )/pregnow:$@Role('0' )/births:$@Role('0' )/miscarr:$@Role('0' )/aborts:$@Role('0' )/totpregs:$@Role('0' )/drunk:$@Role('0' )/usedpot:$@Role('0' )/usedcrck:$@Role('0' )/usedher:$@Role('0' )/sf12#1:$@Role('0' )/sf12#2:$@Role('0' )/sf12#3:$@Role('0' )/sf12#4:$@Role('0' )/sf12#5:$@Role('0' )/sf12#6:$@Role('0' )/sf12#7:$@Role('0' )/sf12#8:$@Role('0' )/sf12#9:$@Role('0' )/sf12#10:$@Role('0' )/sf12#11:$@Role('0' )/sf12#12:$@Role('0' )/health:$@Role('0' )/sf12phys:$@Role('0' )/sf12ment:$@Role('0' )#######efeif12001 ^" %>@(\\6@fgnlegdefddfdCLf2@dfeeeeheeeeeegeeefdj0Gd;@f#-C@12002 }a)>@eedidedfgepee!iU6@fddjdekeeeeeeeeeeeegggeeefd? .D@##E@12003 #sLd0>@(\\/@gkeeehdddffedB*  9@ledmeeeehffdeddfhhgfdhB@X0_K@12004 efeife :@q= 1@edfddd#####@j@ghddffd: }A@hefeefffddddfhhggeeHKMG@3mJI@12006 ~C@{#Gz9@eeifffefddeef$V#bQ7@ddheejeeeegeeeeddefggge#*@@efei~ jH@12007 .[l2B@(\\54@gdeeddeffddg#####`c@# 5 9@edheeeeeggddddehgfee#2#L@Q1J@12009 'imt;@efdiief)\\/@jedde$V#bQ7@efeeiddjgeeeefgddddehgeeeeeDio#J@ 0BxL@12011 #=N?@\\(\\@difedgfddeffd#####h@DY\\;@dfdegfeeefeffeefeif12012 C M5#9@#Gz4@eddedddfhddfe,Gy:@dgfeeeefeeeedeffieecbqmF@AO@@120 15 O#C@(\\#/@efeikdfeddef######d@U5#9@hddlddleeeegggddddehheeeged #9#{J@"##L@12017 #`#g#C@#####3@ijedhgddeegdd$V#bQ7@jddjgffegggeeeefffffeo? 1G@B=.A@12108 eeefg:2B@L/@dfepe#####e@fhddgdd+] %=@ggeeegggddddeiiheeek, |L@##I@12021 -[l9@= p}0@ediieddedddehUl4@ddiedjeeeegggddddehiffe#X9^K@eeeiW`VJ@120 23 #n#R<@q= 1j @iehpfddeefddjj 8@dekeeeeeeeedeeeffee12024 }a)7@eeeiefe#Qx2@ffddd##3~=@fgededdeeeeegggddddfhgfeeef#H@m 9>K@12025 , %#R;@(\\O7@eiefgfedgeegdA4@deddeeeeegggddddghgffeiNG@xWfI@ eedhe12027 ,3G@#####=@ednfddeghedgd#####@e@#f##$>@figeeeiffededhffghdkw@@ e##u@@12028 #=@333331@eeeiheexedpeg#####@o@uiC#C@hddhddhefd1 2031 PB F@#Gz#3@egedfeepdfhdd######i@X.<@hedieeeegggddddegghgeapL@4#6J8@dgeeeeggfedddffggeek]h{F@\\tYL`H@ 12039 F#1bG@fffff3@efdhffeheddeh#####l@#,cD@fedgddghgfeeeedihhegeefe# F%u#9@ )"*NK@12040 #G@\\(1@gefegfe######? eghdd#####`h@Qa>@gdeheeeeegfddeeeghhieB ##P@_FZ9@12042 eeeiff##FF@Gz#1@ddfddd#####o@hfedhddq;#D@heeeehggddddghgfedeV #-E@3.#pK@12043 #l>,7@p= W.@feieffeedfdefky#5@ddeddeeeeefggddddfhhfee58EG#J@gfei##bL@12044 b_XJ.@@dfedfepehfddd#####@p@ky#E@dddgfeefggddddefgfeey]zL@! 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