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How does sample size affect the width of the confidence interval for the population mean?

Increasing the sample size decreases the width of confidence intervals, because it decreases the standard error.

How does sample size affect the width of the confidence interval for the population mean quizlet?

How does sample size affect the width of the confidence interval for the population mean? Larger sample sizes result in narrow intervals.

Does effect size have an effect on the width of a confidence interval of a mean?

The width of the confidence interval for an individual study depends to a large extent on the sample size. Larger studies tend to give more precise estimates of effects (and hence have narrower confidence intervals) than smaller studies.

What affects the width of a confidence interval quizlet?

What factors affect it? Confidence level: As confidence level increases, confidence interval width increases. Sample size: As sample size increases, confidence interval width decreases. Standard deviation: As standard deviation increases, confidence interval width increases.