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True or flase:according to the central limit theorem, the standard error for a sample mean becomes smaller as the sample size increases.
According to the central limit theorem, the standard error for a sample mean becomes smaller as the sample size increases.
Answer:
True
Explanation:
As the sample size increases, the sampling distribution of the mean is more likely to be nearly normal, regardless of the shape of the original population distribution.
According to the central limit theorem, the standard error for a sample mean becomes smaller as the sample size increases.
Answer:
True
Explanation:
As the sample size increases, the sampling distribution of the mean is more likely to be nearly normal, regardless of the shape of the original population distribution.
According to the central limit theorem, the standard error for a sample mean becomes smaller as the sample size increases.
Answer:
True
Explanation:
As the sample size increases, the sampling distribution of the mean is more likely to be nearly normal, regardless of the shape of the original population distribution.
According to the central limit theorem, the standard error for a sample mean becomes smaller as the sample size increases.
Answer:
True
Explanation:
As the sample size increases, the sampling distribution of the mean is more likely to be nearly normal, regardless of the shape of the original population distribution.
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