Question: If the Central Limit Theorem is applicable, this means that the sampling distribution of a _population can be treated as normal since the is _____.

If the Central Limit Theorem is applicable, this means that the sampling distribution of a ___________population can be treated as normal since the ______________is _____________.

-non-normal; mean; large

-positively skewed; sample size; small

-negatively skewed; standard deviation; large

-symmetrical; variance; large

-negatively skewed; sample size; large

I keep coming up with normal & large ... which is not an option.

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Question: If the Central Limit Theorem is applicable, this means that the sampling distribution of a ___________population can be treated as normal since the ______________is _____________.

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Question: If the Central Limit Theorem is applicable, this means that the sampling distribution of a _population can be treated as normal since the is _____.