In a chi-square test of independence, the value of the test statistic was , and the critical value at was 11.1433. Which of the following conclusions may we draw from this information?
A) We fail to reject the null hypothesis at.
B) We reject the null hypothesis at.
C) We don't have enough evidence to accept or reject the null hypothesis at.
D) We should decrease the level of significance in order to reject the null hypothesis.

Question

In a chi-square test of independence, the value of the test statistic was  , and the critical value at  was 11.1433. Which of the following conclusions may we draw from this information?
A) We fail to reject the null hypothesis at. 
B) We reject the null hypothesis at. 
C) We don't have enough evidence to accept or reject the null hypothesis at. 
D) We should decrease the level of significance in order to reject the null hypothesis.

Quizplus · Accepted Answer

The test statistic value (11eab386_b8ae_6db9_aec0_f74c63de14da_TB4962_11) is less than the critical value at the given level of significance (11eab386_b8ae_6dba_aec0_07eca7e59ffa_TB4962_11), which means we fail to reject the null hypothesis. There is not enough evidence to suggest that there is a significant association between the two variables being tested.

In a Chi-Square Test of Independence, the Value of the Test