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Define a confidence interval and specify what factors determine its width (specifically comparing the role of sample size and population size).

Question: Define a confidence interval and specify what factors determine its width (specifically comparing the role of sample size and population size).

Sample answer: A confidence interval is a statistical range calculated around a sample statistic designed to contain the true population parameter a specified percentage of the time, most commonly 95%95\%. Its width depends only on the size of the sample and is independent of the size of the population.

Key points:

  • A confidence interval is a statistical range around a sample statistic designed to contain the true population parameter a specified percentage of the time.
  • The most commonly used confidence interval is 95%95\%.
  • The width of the confidence interval depends only on the size of the sample.
  • The width of the confidence interval does not depend on the size of the population.

Rubric: A complete response must define a confidence interval as a statistical range around a sample statistic designed to contain the true population parameter a specified percentage of the time. It must also recall that the width of the confidence interval depends only on the sample size and not on the population size.

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Updated 2026-05-26

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Research Methods in Psychology - 4th American Edition @ KPU

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