13.27 Consider the following 2 x 3 (i.e., r = 2 and c = 3) con- tingency table: Column 1 2 3 Row 1 2 9 34 53 16 30 25 a. Specify the null and alternative hypotheses that should be used in testing the independence of the row and col- umn classifications. Ho: Row and Column are independent b. Specify the test statistic and the rejection region that should be used in conducting the hypothesis test of part a. Use a .01. >9.21034 c. Assuming that the row classification and the column classification are independent, find estimates for the ex- pected cell counts. d. Conduct the hypothesis test of part a. Interpret your result. 8.71

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13.27 Consider the following 2 x 3 (i.e., r = 2 and c = 3) con-
tingency table:
Column
1
2
3
Row
1
2
9
34
53
16
30
25
a. Specify the null and alternative hypotheses that should
be used in testing the independence of the row and col-
umn classifications. Ho: Row and Column are independent
b. Specify the test statistic and the rejection region that
should be used in conducting the hypothesis test of part
a. Use a .01. >9.21034
c. Assuming that the row classification and the column
classification are independent, find estimates for the ex-
pected cell counts.
d. Conduct the hypothesis test of part a. Interpret your
result.
8.71
Transcribed Image Text:13.27 Consider the following 2 x 3 (i.e., r = 2 and c = 3) con- tingency table: Column 1 2 3 Row 1 2 9 34 53 16 30 25 a. Specify the null and alternative hypotheses that should be used in testing the independence of the row and col- umn classifications. Ho: Row and Column are independent b. Specify the test statistic and the rejection region that should be used in conducting the hypothesis test of part a. Use a .01. >9.21034 c. Assuming that the row classification and the column classification are independent, find estimates for the ex- pected cell counts. d. Conduct the hypothesis test of part a. Interpret your result. 8.71
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