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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.

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