Final answer:
The assumption that is NOT required when testing for a difference between means from two populations is d. The two populations have similar means.
Step-by-step explanation:
The assumption that is NOT required when testing for a difference between means from two populations is d. The two populations have similar means.
When testing for a difference between means, the key assumptions are:
- The dependent variable scores must be a continuous quantitative variable.
- The scores in the populations are normally distributed.
- Each value is sampled independently from each other value.
These assumptions ensure that the test is valid and the results are accurate.