Mathematics, 15.04.2020 02:38 lilquongohard

The Central Limit Theorem tells us that the sampling distribution of can be approximated by a normal distribution whenever .

A. The sample size is large enough.
B. The population size is large enough.
C. The sample was normally distributed.
D. We can compute a value for E and σ.
E. n/N < 0.5

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The Central Limit Theorem tells us that the sampling distribution of can be approximated by a normal distribution whenever . A. The sample size is large enough. B. The population size is large enough. C. The sample was normally distributed. D. We can compute a value for E and σ. E. n/N < 0.5

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Another question on Mathematics

The Central Limit Theorem tells us that the sampling distribution of can be approximated by a normal distribution whenever .

A. The sample size is large enough.
B. The population size is large enough.
C. The sample was normally distributed.
D. We can compute a value for E and σ.
E. n/N < 0.5