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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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