Suppose you want to test the claim that mu is not equal to 3.5. Given a sample size of n = 31 and a level of significance of alpha = 0.10 when should you reject Ho?

A) Reject Ho if the standardized test statistic is greater than 2.575 or less than -2.575.
B) Reject Ho if the standardized test statistic is greater than 1.96 or less than -1.96
C) Reject Ho if the standardized test statistic is greater than 2.33 or less than -2.33
D) Reject Ho if the standardized test statistic is greater than 1.645 or less than -1.645.

Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the Z score = .05 in the smaller area.

To determine when to reject the null hypothesis (Ho) in this scenario, you need to conduct a hypothesis test. Specifically, you need to compute the standardized test statistic and compare it to critical values based on the level of significance (alpha).

In this case, the level of significance (alpha) is given as 0.10. The critical values for a two-tailed test with alpha = 0.10 can be found using a standard normal distribution.

The standard normal distribution has a mean of 0 and a standard deviation of 1. For a two-tailed test with alpha = 0.10, the critical values are approximately 1.645 and -1.645.

Therefore, the correct answer is D) Reject Ho if the standardized test statistic is greater than 1.645 or less than -1.645.