In the figure below, if the $\mathrm { z }$-test value is $1.43$ for a test of the difference between two large sample means, then the null hypothesis should not be rejected.

Question

Quizplus · Accepted Answer

To determine whether the null hypothesis should be rejected or not based on a z-test value, we need to compare it to the critical z-value at the desired level of significance. Since the problem does not provide the level of significance or the degrees of freedom, we cannot determine the critical z-value. However, if the z-test value is not greater than the critical z-value, then the null hypothesis should not be rejected. Therefore, if the z-test value is 1.43 and the critical z-value is less than or equal to 1.43, then the null hypothesis should not be rejected. Thus, the answer is true.

In the Figure Below, If The z\mathrm { z }z -Test Value Is

In the Figure Below, If The $\mathrm { z }$ -Test Value Is