Carry out a​ chi-square test for independence for each of the following contingency tables​ (use the 0.05 ​level)., figure the effect size for each contingency table and hypothesis . Figure for charts A-C?

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Carry out a​ chi-square test for independence for each of the following contingency tables​ (use the 0.05

​level)., figure the effect size for each contingency table and hypothesis . Figure for charts A-C?

Carry out a chi-square test for independence for each of the following contingency tables (use the 0.05 level). Also, figure the effect size for each contingency table.
(a)
(b)
(c)
0
13
0
13
26
0
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.
Determine the null and research hypotheses for the tests. Choose the correct answer below.
The null hypothesis is that the row and column variables are independent.
The research hypothesis is that the row and column variables are not independent.
B. The null hypothesis is that the row and column variables are not independent.
The research hypothesis is that row and column variables are independent.
OC. The null hypothesis is that the counts in each cell are equal.
The research hypotheses is that counts in each cell are not equal.
D. The null hypothesis is that counts in each cell are not equal.
The research hypotheses is that the counts in each cell are equal.
(a) Determine the cutoff sample score at which the null hypothesis should be rejected.
Reject the null hypothesis for a chi-square value greater than
(Round to three decimal places as needed.)
Cohen's Conventions for Cramer's Phi
Cohen's Conventions for Cramer's Phi
Smallest Side of Contingency Table
2 (dfsmaller = 1)
3 (dfsmaller = 2)
4 (df smaller = 3)
Print
1
Effect Size
Small Medium Large
0.10 0.30 0.50
0.07 0.21
0.35
0.29
0.06 0.17
Done
0
13
X
df
1
2
345 60 000
Cutoff Scores for the Chi-Square Distribution
7
8
9
0
13
10
www
13
0
.10
13
0
2.706
4.605
6.252
7.780
9.237
10.645
12.017
13.362
14.684
15.987
Significance Level
.05
3.841
5.992
7.815
9.488
11.071
12.592
14.067
15.507
16.919
18.307
.01
6.635
9.211
11.345
13.277
15.087
16.812
18.475
20.090
21.666
23.209
19
0
X
38
38
Transcribed Image Text:Carry out a chi-square test for independence for each of the following contingency tables (use the 0.05 level). Also, figure the effect size for each contingency table. (a) (b) (c) 0 13 0 13 26 0 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. Determine the null and research hypotheses for the tests. Choose the correct answer below. The null hypothesis is that the row and column variables are independent. The research hypothesis is that the row and column variables are not independent. B. The null hypothesis is that the row and column variables are not independent. The research hypothesis is that row and column variables are independent. OC. The null hypothesis is that the counts in each cell are equal. The research hypotheses is that counts in each cell are not equal. D. The null hypothesis is that counts in each cell are not equal. The research hypotheses is that the counts in each cell are equal. (a) Determine the cutoff sample score at which the null hypothesis should be rejected. Reject the null hypothesis for a chi-square value greater than (Round to three decimal places as needed.) Cohen's Conventions for Cramer's Phi Cohen's Conventions for Cramer's Phi Smallest Side of Contingency Table 2 (dfsmaller = 1) 3 (dfsmaller = 2) 4 (df smaller = 3) Print 1 Effect Size Small Medium Large 0.10 0.30 0.50 0.07 0.21 0.35 0.29 0.06 0.17 Done 0 13 X df 1 2 345 60 000 Cutoff Scores for the Chi-Square Distribution 7 8 9 0 13 10 www 13 0 .10 13 0 2.706 4.605 6.252 7.780 9.237 10.645 12.017 13.362 14.684 15.987 Significance Level .05 3.841 5.992 7.815 9.488 11.071 12.592 14.067 15.507 16.919 18.307 .01 6.635 9.211 11.345 13.277 15.087 16.812 18.475 20.090 21.666 23.209 19 0 X 38 38
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