The Central Limit Theorem implies that

(a) All variables have bell-shaped sample data distributions if a random sample contains at least about 30 observations.

(b) Population distributions are normal whenever the population size is large.

(c) For large random samples, the sampling distribution of ¯y is approximately normal, regardless of the shape of the population distribution.

(d) The sampling distribution looks more like the population distribution as the sample size increases.