Final answer:
When making small-sample inferences using the t distribution for population means, assumptions are made about the normality of the populations, their independence, and equality of standard deviations.
Step-by-step explanation:
When making small-sample inferences about the differences in population means using the t distribution, certain assumptions are made:
- The populations from which the independent random samples are obtained are normally distributed.
- The two populations are independent of each other.
- The populations have equal standard deviations (or variances).
These assumptions ensure the validity of the t-test and the accuracy of the inferences made about the population means.