The reason why we need to solve for t instead of z in some ...

[debasdf]

The reason why we need to solve for t instead of z in some situations relates to
 
  a. the sampling distribution of the mean.
  b. the sampling distribution of the sample size.
  c. the sampling distribution of the variance.
  d. the size of our sample mean.

Question 2

The importance of the underlying assumption of normality behind a one-sample means test
 
  a. depends on how fussy you are.
  b. depends on the sample size.
  c. depends on whether you are solving for t or z.
  d. doesn't depend on anything.

[Jane]

Answer to Question 1

C

Answer to Question 2

B