The Central Limit Theorem States That
A)the Sampling Distribution Of \frac

Multiple Choice

The central limit theorem states that

A) the sampling distribution of $\frac { \bar { Y } - \mu _ {y} } { \sigma \bar { Y } }$ is approximately normal.
B) $\bar { Y } \xrightarrow{p} \mu _ { \gamma }$
C) the probability that $\bar { Y }$ is in the range $\mu_y$ ± c becomes arbitrarily close to one as n increases for any constant c > 0.
D) the t distribution converges to the F distribution for approximately n > 30.