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Which of the following refers to the standard deviation of the sampling distribution of a point estimate? Sampling error Standard error Sample standard deviation Population standard deviation

Ask by Little Haynes. in the United States
Mar 10,2025

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The standard error is the standard deviation of the sampling distribution of a point estimate.

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The term that refers to the standard deviation of the sampling distribution of a point estimate is **Standard error**. Here's a brief explanation of the other options for clarity: - **Sampling error**: This refers to the difference between the sample statistic and the actual population parameter it estimates. - **Sample standard deviation**: This is a measure of the variability or dispersion of a set of sample data points. - **Population standard deviation**: This is a measure of the variability or dispersion of a set of data points in the entire population. Thus, the correct answer is **Standard error**.

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The answer you're looking for is the "Standard error." It is a measure of how much the sample mean is expected to fluctuate from the true population mean, making it a crucial concept in inferential statistics. The smaller the standard error, the more reliable the estimate will be! Don't forget that the standard error is influenced by both the standard deviation of the population and the size of your sample! Larger samples tend to yield a smaller standard error, which means you're getting closer to the true population parameter. So, if you're planning to take a survey, go big or go home!

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