Question: Contingency Tables Contingency Tables program admit_type aba general precounseling Total fyr Count 6.000 19.000 10.000 35.000 Expected count 10.150 14.350 10.500 35.000 trn Count 23.000
Contingency Tables Contingency Tables program admit_type aba general precounseling Total fyr Count 6.000 19.000 10.000 35.000 Expected count 10.150 14.350 10.500 35.000 trn Count 23.000 22.000 20.000 65.000 Expected count 18.850 26.650 19.500 65.000 Total Count 29.000 41.000 30.000 100.000 Expected count 29.000 41.000 30.000 100.000 Chi-Squared Tests Value df p 4.965 2 0.084 N 100 Note. Continuity correction is available only for 2x2 tables. Nominal Value Phi-coefficient NaN Cramer's V 0.223 Phi coefficient is only available for 2 by 2 contingency Tables Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption. At the .05 alpha level, is the test statistically significant? Explain how you determined this. The test levels are not statistically significant because the p value is 0.084 which is greater than .05 Is there evidence of a relationship between admit_type and program in this population? Explain how you determined this. Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words
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