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Sagot :
Answer:
it is true
Step-by-step explanation:
according to the central limit theorem, the standard error for a sample mean becomes smaller as the sample size increases.
Question:
True or False
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.
Lets Study
Question:
True or False
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.
Lets Study
Question:
True or False
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.
Lets Study
Question:
True or False
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.
Lets Study
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