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Based on this scenario and the relationship between confidence intervals and null hypothesis tests, explain how the psychologist should evaluate the skeptic's claim. What conclusion should be made regarding the statistical significance of the difference between the sample mean and the hypothesized population mean of 230230, and why?

Case context: A social psychologist is studying the effectiveness of a new therapy. In their sample, the mean recovery score is 200200. They compute a 95%95\% confidence interval around this sample mean, resulting in a range of [180, 220]. A skeptic claims that the therapy has no effect, which would correspond to a hypothetical population mean recovery score of 230230.

Question: Based on this scenario and the relationship between confidence intervals and null hypothesis tests, explain how the psychologist should evaluate the skeptic's claim. What conclusion should be made regarding the statistical significance of the difference between the sample mean and the hypothesized population mean of 230230, and why?

Sample answer: The psychologist should reject the skeptic's claim because the hypothesized population mean of 230230 falls completely outside the calculated 95%95\% confidence interval of [180, 220]. Because the hypothetical mean falls completely outside the interval, the sample mean of 200200 is considered statistically significantly different from that hypothetical value (at the .05.05 level).

Key points:

  • The hypothesized population mean of 230230 falls completely outside the calculated confidence interval of [180, 220].
  • A confidence interval inherently provides the data needed to perform a null hypothesis test.
  • If a hypothetical population mean falls completely outside the calculated interval, the sample mean is considered statistically significantly different from that value.

Rubric: The answer should demonstrate comprehension of how confidence intervals relate to null hypothesis testing by explaining that: 1. The skeptic's hypothesized mean of 230230 falls completely outside the calculated interval of [180, 220]. 2. A confidence interval inherently provides the data needed to perform a null hypothesis test. 3. Because the hypothetical mean is outside the interval, the sample mean is statistically significantly different from it.

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Updated 2026-05-26

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Research Methods in Psychology - 4th American Edition @ KPU

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