The sampling distribution of t differs from the sampling distribution of z in that _________.
a. there is only one sampling distribution of z (the normal distribution) for all N, while there are many sampling distributions for t, depending on sample size.
b. the sampling distribution of z is more narrow, except when N equals infinity.
c. the means of the two distributions are different
d. all of these
e. a and b
Question 2
The sampling distribution of t _________.
a. gives all possible different t values of size N and the probability of getting each value if sampling is random from the null-hypothesis population
b. is defined as a probability distribution of the t values that would occur if all possible different samples of size N were drawn from the null hypothesis population
c. varies uniquely with N
d. all of these
e. a and b
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