Oishi and Schimmack (2010) report that people who move from home to home frequently as children tend to have lower than average levels of well-being as adults. To further examine this relationship, a psychologist obtains a sample of n = 12 young adults who each experienced five or more different homes before they were 16 years old. These participants were given a standardized well-being questionnaire for which the general population has an average score of ? = 40. The sample of well-being scores had an average of M = 37 and SS = 118.03. On the basis of the sample, is well-being for frequent movers significantly different from well-being in the general population? State the null and alternate and use a two-tailed test with ? = .05. Draw the t distribution and label critical t and obtained t. Shade in the critical region. Compute r2 to measure the size of the difference. Is this effect small, medium, or large? Hint: Refer to Table 9.3 on p. 307 of your textbook. Construct a 95% confidence interval for the population of well-being scores. Write a sentence showing how the outcome of the hypothesis test, the measure of effect size, and the confidence interval would appear in a research report.

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Oishi and Schimmack (2010) report that people who move from home to home frequently as children tend to have lower than average levels of well-being as adults. To further examine this relationship, a psychologist obtains a sample of n = 12 young adults who each experienced five or more different homes before they were 16 years old. These participants were given a standardized well-being questionnaire for which the general population has an average score of ? = 40. The sample of well-being scores had an average of M = 37 and SS = 118.03.

  1. On the basis of the sample, is well-being for frequent movers significantly different from well-being in the general population? State the null and alternate and use a two-tailed test with ? = .05.

  2. Draw the t distribution and label critical t and obtained t. Shade in the critical region.

  3. Compute r2 to measure the size of the difference. Is this effect small, medium, or large?

    Hint: Refer to Table 9.3 on p. 307 of your textbook.

  4. Construct a 95% confidence interval for the population of well-being scores.

  5. Write a sentence showing how the outcome of the hypothesis test, the measure of effect

    size, and the confidence interval would appear in a research report.

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