Question

If the calculated Chi-square value is greater than the critical (table) Chi-square value,

a. Accept the null hypothesis
b. Reject the null hypothesis
c. There is no difference between two means
d. both a and c
e. both b and c

Answer 1

The correct answer is option e, which is both b and c. If the calculated Chi-square value is greater than the critical (table) Chi-square value, it means that the test statistic falls in the critical region and we can reject the null hypothesis. This indicates that there is a significant difference between the observed and expected values, suggesting that there is a difference between two means.

Step-by-step explanation:

The correct answer is option e, which is both b and c. If the calculated Chi-square value is greater than the critical (table) Chi-square value, it means that the test statistic falls in the critical region and we can reject the null hypothesis. This indicates that there is a significant difference between the observed and expected values, suggesting that there is a difference between two means.