Discuss row variable is independent of the column variable


Response to the following question:

1. In a contingency table, when all the expected frequencies equal the observed frequencies the calculated 2 statistic equals 1.

2. In a contingency table, if all of the expected frequencies equal the observed frequencies, then we can conclude that there is a perfect dependence between rows and columns.

3. In performing a chi-square test of independence, as the difference between the respective observed and expected frequencies decrease, the probability of concluding that the row variable is independent of the column variable increases.

4. When we carry out a chi-square test of independence, the expected frequencies are based on the Null hypothesis.

 

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