You are conducting a test of the claim that the row variables and the column variables are dependent in the following contingency table. First you need to calculate the sums of the rows and columns. Then calculate the expected frequencies. Complete the observed value table with the totals Y. Totals A 35 29 70 35 30 Totals Give all answers rounded to 3 places after the decimal point, if necessary. Expected Frequencies (row i and column j) (Total,) (Total,). E j= Total Enter the expected frequencies below: Y 69

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You are conducting a test of the claim that the row variables and the column variables are dependent in
the following contingency table. First you need to calculate the sums of the rows and columns. Then
calculate the expected frequencies.
Complete the observed value table with the totals
Y
Totals
A
35
29
70
35
30
69
Totals
Give all answers rounded to 3 places after the decimal point, if necessary.
Expected Frequencies (row i and column j)
(Total,) (Total,).
E
Total
Enter the expected frequencies below:
Y
Z
B
Transcribed Image Text:You are conducting a test of the claim that the row variables and the column variables are dependent in the following contingency table. First you need to calculate the sums of the rows and columns. Then calculate the expected frequencies. Complete the observed value table with the totals Y Totals A 35 29 70 35 30 69 Totals Give all answers rounded to 3 places after the decimal point, if necessary. Expected Frequencies (row i and column j) (Total,) (Total,). E Total Enter the expected frequencies below: Y Z B
Expert Solution
Step 1

To determine whether the two variables are independent or not, the chi-square test of independence needs to be conducted.

In this test, the null hypothesis for the test states that the two variables are independent. Assuming the null hypothesis true, the expected frequencies for each category/cell of contingency table is calculated by using the formula, Ei, j=(Total frequency for row i)Total frequency for column jSample size.

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