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Question 4Someone makes the following assertion: if the sample becomes larger, then the standard deviation becomes smaller. Which of the following statements is correct?1 pointThis assertion does not apply to any distribution. This assertion always applies to all distributions. This assertion always applies to the sample distribution and the sampling distribution. This assertion always applies to the sampling distribution.

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Question 4Someone makes the following assertion: if the sample becomes larger, then the standard deviation becomes smaller. Which of the following statements is correct?1 pointThis assertion does not apply to any distribution. This assertion always applies to all distributions. This assertion always applies to the sample distribution and the sampling distribution. This assertion always applies to the sampling distribution.

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Solution

This assertion always applies to the sampling distribution. As the sample size increases, the standard deviation of the sampling distribution (also known as the standard error) decreases. This is due to the Central Limit Theorem, which states that the distribution of sample means approximates a normal distribution as the sample size gets larger, regardless of the shape of the population distribution. This results in the standard deviation shrinking as the sample size increases, leading to a tighter clustering of sample means around the population mean. However, this does not affect the standard deviation of the actual sample or population.

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