tinfoQ

2021-02-12

Which of the following is true about sampling distributions?

-Shape of the sampling distribution is always the same shape as the population distribution, no matter what the sample size is.

-Sampling distributions are always nearly normal.

-Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

-Sampling distributions get closer to normality as the sample size increases.

-Shape of the sampling distribution is always the same shape as the population distribution, no matter what the sample size is.

-Sampling distributions are always nearly normal.

-Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

-Sampling distributions get closer to normality as the sample size increases.

Nicole Conner

Skilled2021-02-13Added 97 answers

Step 1

When the sample size increases, then the sampling distribution of mean gets closer to normality.

Step 2

Therefore, the true statement about the sampling distributions is “Sampling distributions get closer to normality as the sample size increases”.

When the sample size increases, then the sampling distribution of mean gets closer to normality.

Step 2

Therefore, the true statement about the sampling distributions is “Sampling distributions get closer to normality as the sample size increases”.

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