question 1 baed on chi test performed
Ass1gnment 3: UfDSStDulthll This assignment is due April 19 at midnight. Turn in your computer printout and your typed discussion of the three problems. Be sure that you include pages that show all of your work; you can scan or take a photo of hand-written work to upload it. Please paste images of your hand- written work into ONE .doc le. All materials must be uploaded to Canvas. 1. Use SPSS and the General Social Survey (GSS) data set provided to the class to perform a hypothesis test of the relationship between two categorical variables of your choice (nominal or ordinal). When choosing which is your independent and dependent variables, remember to allocate your independent as your \"column\" variable. (You cannot use both of the same variables used in the example given to you in recitation.) Write out your research and null hypotheses and then use SPSS to perform your hypothesis test (with an alpha of .05). For this question you have a choice: you can choose to obtain the critical chi-square and compare to your sample or you can just use the p-value to make your decision without obtaining a critical statistic. Following your decision, state your summary conclusion in a complete sentence. You are interested in knowing whether overall health differs between men and women in the United States. To address this question, you conducted a survey of 146 people and asked them how they rate their overall health (good, fair, or poor). The results for this sample are as follows: Overall health rating Men Women Total Good 19 27 46 Fair 41 22 63 Poor 27 10 37 Total 87 59 146 Develop and test the appropriate hypothesis to determine whether overall health rating differ between men and women in the United States, at an alpha of .05. Be sure that you include all of the steps discussed in class and show any work that you perform. State your conclusions in a complete sentence. Describe the strength of the relationship between sex and health in the United States based upon the value and meaning of the appropriate measure. 3. Show in a table or explain in words what the crosstabulation for your two variables from problem 2 would look like if there was no e'ect of gender on rating of overall health. Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent SUICIDE IF BANKRUPT * 1344 65.8% 700 34.2% 2044 100.0% SUICIDE IF TIRED OF LIVING * SUICIDE IF INCURABLE DISEASE SUICIDE IF BANKRUPT * SUICIDE IF TIRED OF LIVING * SUICIDE IF INCURABLE DISEASE Crosstabulation Count SUICIDE IF TIRED OF LIVING SUICIDE IF INCURABLE DISEASE YES NO Total YES SUICIDE IF BANKRUPT YES 139 12 151 NO 105 547 652 Total 244 559 803 NO SUICIDE IF BANKRUPT YES 1 2 3 NO 11 527 538 Total 12 529 541 Total SUICIDE IF BANKRUPT YES 140 14 154 NO 116 1074 1190 Total 256 1088 1344Chi-Square Tests Asymptotic Significance Exact Sig. (2- Exact Sig. (1- SUICIDE IF INCURABLE DISEASE Value df (2-sided) sided) sided) YES Pearson Chi-Square 334.333 .000 Continuity Correction 330.752 000 Likelihood Ratio 326.868 .000 Fisher's Exact Test 000 000 Linear-by-Linear 333.916 000 Association N of Valid Cases 803 NO Pearson Chi-Square 13.466 000 Continuity Correction 2.904 088 Likelihood Ratio 3.964 046 Fisher's Exact Test 065 065 Linear-by-Linear 13.441 .000 Association N of Valid Cases 541 Total Pearson Chi-Square 582.499a 000 Continuity Correction 577.247 000 Likelihood Ratio 454.564 .000 Fisher's Exact Test 000 000 Linear-by-Linear 582.065 .000 Association N of Valid Cases 1344 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 29.33.Directional Measures Asymptotic Appi Double-click to Standard activate oximate SUICIDE IF INCURABLE DISEASE Value Error org ificance YES Nominal by Nominal Lambda Symmetric 408 052 6.361 .000 SUICIDE IF BANKRUPT 225 .091 2.183 029 Dependent SUICIDE IF TIRED OF 520 .035 11.100 000 LIVING Dependent Goodman and Kruskal SUICIDE IF BANKRUPT 416 .036 000 tau Dependent SUICIDE IF TIRED OF 416 032 000 LIVING Dependent NO Nominal by Nominal Lambda Symmetric 000 000 SUICIDE IF BANKRUPT 000 000 Dependent SUICIDE IF TIRED OF 000 000 LIVING Dependent Goodman and Kruskal SUICIDE IF BANKRUPT 025 .044 .000 tau Dependent SUICIDE IF TIRED OF 025 .042 .000 LIVING Dependent Total Nominal by Nominal Lambda Symmetric .366 053 5.781 000 SUICIDE IF BANKRUPT .156 095 1.501 .133 Dependent SUICIDE IF TIRED OF 492 035 10.567 000 LIVING Dependent Goodman and Kruskal SUICIDE IF BANKRUPT 433 034 000 tau Dependent SUICIDE IF TIRED OF .433 030 000
