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Carry out a chi-square test for independence for each of the following contingency tables (use the 0.01 level). Also, figure the effect size for each contingency table. (a) 16 (b) 14 Click the icon to view the table of cutoff scores for the Chi-square distribution. Click the icon to view the table of Cohen's conventions for Cramer's phi. 14 16 16 16 16 14 1922 12225 SonN (a) State the null and research hypotheses. A. The null hypothesis is that the counts in each cell are equal. The research hypothesis is that the count in at least one cell is different. OB. The null hypothesis is that the counts in each column are equal. The research hypothesis is that the count in at least one column is different. OC. The null hypothesis is that the counts in each row are equal. The research hypothesis is that the count in at least one row is different. D. The null hypothesis is that the populations are independent. The research hypothesis is that the populations are not independent. PARKEE 14 16 3223 Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected. The cutoff score is S www PAGE S 14 D 14 Sounce E 000121 200 BESO CAS C @ SS di W (c) WERPER 16 14 14 16 16 O 14

Carry out a chi-square test for independence for each of the following contingency tables (use the 0.01 level). Also, figure the effect size for each contingency table. (a) 16 (b) 14 Click the icon to view the table of cutoff scores for the Chi-square distribution. Click the icon to view the table of Cohen's conventions for Cramer's phi. 14 16 16 16 16 14 1922 12225 SonN (a) State the null and research hypotheses. A. The null hypothesis is that the counts in each cell are equal. The research hypothesis is that the count in at least one cell is different. OB. The null hypothesis is that the counts in each column are equal. The research hypothesis is that the count in at least one column is different. OC. The null hypothesis is that the counts in each row are equal. The research hypothesis is that the count in at least one row is different. D. The null hypothesis is that the populations are independent. The research hypothesis is that the populations are not independent. PARKEE 14 16 3223 Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected. The cutoff score is S www PAGE S 14 D 14 Sounce E 000121 200 BESO CAS C @ SS di W (c) WERPER 16 14 14 16 16 O 14

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1. State the null hypothesis? 2. Determine the cutoff sample score for A, B,C? 3. Determine chi square statistics for A,BC?
Carry out a chi-square test for independence for each of the following contingency tables (use the 0.01 level). Also, figure the effect size for each contingency table. (a) 14 16 16 14 Click the icon to view the table of cutoff scores for the Chi-square distribution. Click the icon to view the table of Cohen's conventions for Cramer's phi. 16 16 (b) 16 14 (a) State the null and research hypotheses. A. The null hypothesis is that the counts in each cell are equal. The research hypothesis is that the count in at least one cell is different. OB. The null hypothesis is that the counts in each column are equal. The research hypothesis is that the count in at least one column is different. OC. The null hypothesis is that the counts in each row are equal. The research hypothesis is that the count in at least one row is different. D. The null hypothesis is that the populations are independent. The research hypothesis is that the populations are not independent. Cohen's Conventiosn for Cramer's Phi Cohen's Conventions for Cramer's Phi Smallest Side of Contingency Table 2 (df smaller = 1) 3 (df smaller = 2) 4 (df smaller = 3) 14 16 Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected. The cutoff score is (Round to three decimal places as needed.) Effect Size Small Medium Large 0.10 0.30 0.50 0.07 0.21 0.35 0.17 0.29 0.06 14 D 14 X df 1 2 3 4 5 6 7 8 9 10 .10 (c) 2.706 4.605 6.252 7.780 9.237 16 14 Cohen's Conventiosn for Cramer's Phi 10.645 12.017 13.362 14.684 15.987 14 16 Significance Level .05 3.841 5.992 7.815 9.488 11.071 12.592 14.067 15.507 16.919 18.307 16 O 14 .01 6.635 9.211 11.345 13.277 15.087 16.812 18.475 20.090 21.666 23.209
Transcribed Image Text:Carry out a chi-square test for independence for each of the following contingency tables (use the 0.01 level). Also, figure the effect size for each contingency table. (a) 14 16 16 14 Click the icon to view the table of cutoff scores for the Chi-square distribution. Click the icon to view the table of Cohen's conventions for Cramer's phi. 16 16 (b) 16 14 (a) State the null and research hypotheses. A. The null hypothesis is that the counts in each cell are equal. The research hypothesis is that the count in at least one cell is different. OB. The null hypothesis is that the counts in each column are equal. The research hypothesis is that the count in at least one column is different. OC. The null hypothesis is that the counts in each row are equal. The research hypothesis is that the count in at least one row is different. D. The null hypothesis is that the populations are independent. The research hypothesis is that the populations are not independent. Cohen's Conventiosn for Cramer's Phi Cohen's Conventions for Cramer's Phi Smallest Side of Contingency Table 2 (df smaller = 1) 3 (df smaller = 2) 4 (df smaller = 3) 14 16 Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected. The cutoff score is (Round to three decimal places as needed.) Effect Size Small Medium Large 0.10 0.30 0.50 0.07 0.21 0.35 0.17 0.29 0.06 14 D 14 X df 1 2 3 4 5 6 7 8 9 10 .10 (c) 2.706 4.605 6.252 7.780 9.237 16 14 Cohen's Conventiosn for Cramer's Phi 10.645 12.017 13.362 14.684 15.987 14 16 Significance Level .05 3.841 5.992 7.815 9.488 11.071 12.592 14.067 15.507 16.919 18.307 16 O 14 .01 6.635 9.211 11.345 13.277 15.087 16.812 18.475 20.090 21.666 23.209
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