N6208 Assignment 7 Chi-square Linear Regression 2018...

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N6208 Assignment 7Chapter 8: Chi-SquareI.Given each of the following situations, determine whether the calculated values of chi-squareare statistically significant:a)Χ2= 3.72, df= 1, α = .05:
b)Χ2= 9.59, df= 4, α = .05:
d)Χ2= 9.88, df= 2, α = .01:
II.Using the information provided, indicate which test you think should be used for each of the following situations:
3)Independent variable: gender (male versus female); dependent variable: preference for nursing home placement versus home care for parent.: Chi-square test for independence should be sued for this situationIII.Use the SPSS dataset Polit2SetB. Begin by running a crosstab (Analyze Descriptive Statistics Crosstabs) for the variables bmicatand hlthlimit. The first is a variable that usesthe 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 25.00 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 bmicatas 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:Case Processing SummaryCasesValidMissingTotalNPercentNPercentNPercentHealth condition limits R working * BMI category96996.9%313.1%1000100.0%Health condition limits R working * BMI category Crosstabulation
BMI categoryNormal, BMI < 25Overweight, BMI25-30Obese, BMI 30-40Health condition limits R workingNoCount227199199Expected Count215.1188.2202.7% within Health condition limitsR working34.0%29.8%29.8%% within BMI category72.8%72.9%67.7%YesCount857495Expected Count96.984.891.3% within Health condition limitsR working28.2%24.6%31.6%% within BMI category27.2%27.1%32.3%TotalCount312273294Expected Count312.0273.0294.0% within Health condition limitsR working32.2%28.2%30.3%% within BMI category100.0%100.0%100.0%Chi-Square TestsValuedfAsymptoticSignificance (2-sided)Pearson Chi-Square23.153a3.000Likelihood Ratio21.7393.000Linear-by-Linear Association14.3161.000N of Valid Cases969a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 27.96.

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