Explain the difference between testing a single mean and testing the difference between two means.
What two assumptions must be met when one is using z test to test differences between two means?
When can the sample standard deviations s1 and s2 be used in place of the population standard deviations σ1 and σ2 ?
The difference is that when testing a single mean, you're also testing whether the mean is >a, <a, =a. When testing two means µ1 and µ 2, your testing if µ 1- µ 2>a, µ ...
The differences between testing a single mean or testing the difference between two means is examined. The two assumptions that must be met when one is using a z test to test differences between two means is given.