The Central Limit Theorem implies that (a) All variables have bell-shaped sample data distributions if a random
Question:
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.
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