In testing for the equality of means from two independent populations,if the null hypothesis is rejected,the test could result in:
A)A Type I error.
B)Either a Type I error or a Type II error.
C)Neither a Type I error or a Type II error.
D)A Type II error.
E)Both a Type I error and a Type II error.

Question

Quizplus · Accepted Answer

If the null hypothesis is rejected, it means that the test has found a statistically significant difference between the means of the two populations. However, this does not necessarily mean that the difference is real. It is possible that the difference is due to chance, and that the null hypothesis is actually true. This is known as a Type I error.

In Testing for the Equality of Means from Two Independent