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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!

preguntas relacionadas

Question 12(Mulliple Choice Warth 5 points) \[ (04.06 \mathrm{HC}) \] A researcher wants to test the claim that the proportion of juniors who watch television regularly is greater than the proportion of seniors who watch television regularly She finds that 56 of 70 randomly selected juniors and 47 of 85 randomly selected seniors report watching television regularly. Construct \( 95 \% \) confidence intervals for each population proportion. Which of the statemente gives the correct outcome of the research or's tert of the dalim? The \( 95 \% \) confidence interval for juniors is (706, 894), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is (721, 879), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( 706,894 ), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( \( 721, .879 \) ), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors.

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