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4.3 Justifying a Claim Based on a Confidence Interval for a Population Mean

Syllabus
2026
Topic
4.3
Level

4.3.A—Interpret a confidence interval in context for a population mean or population mean difference

Interpret a confidence interval in context for a population mean or population mean difference.

  • Because the confidence interval for a population mean or population mean difference is calculated based on a sample from a population, the computed interval may or may not contain the value of the population mean or population mean difference.
  • The interpretation of the confidence level is as follows: In repeated random sampling with the same sample size from the same population, approximately C% of confidence intervals created will capture the population mean or population mean difference, where C represents the numerical value of the confidence level used.
  • When interpreting a C% confidence interval for a population mean or population mean difference, we say we are C% confident the interval ()ab, contains the value of the population mean or population mean difference, where a represents the lower limit and b represents the upper limit. An interpretation of a confidence interval for a population mean or population mean difference includes a reference to the parameter.

4.3.B—Justify a claim based on a confidence interval for a population mean or population mean difference

Justify a claim based on a confidence interval for a population mean or population mean difference.

  • A confidence interval for a population mean or population mean difference provides an interval of values that may serve as convincing evidence to support a particular claim about the population mean or population mean difference.

4.3.C—Identify the relationships among sample size, confidence interval width, confidence level, and margin of error…

Identify the relationships among sample size, confidence interval width, confidence level, and margin of error for a population mean or population mean difference.

  • For a given sample, increasing the confidence level will result in the following:
    • i. The critical value will increase.
    • ii. The margin of error will increase.
    • iii. The width of the confidence interval will increase.
  • Increasing the sample size decreases the standard error. Thus, when all other things remain the same, the width of a confidence interval for a population mean or population mean difference tends to decrease as the sample size increases. For a confidence interval for a population mean or population mean difference with a given confidence level, the width of the interval is approximately proportional to 1 n . 127 Inference for Quantitative Data: Means UNIT 4

Objective notes

3 learning objectives
ConceptAP Statistics