A researcher uses a matched-subjects design to investigate whether single people with pets are happier than singles without pets. A mood inventory survey is given to a group of 20- to 29-year old non-pet owners and a similar age group of pet owners. The pet owners are matched one to one with the nonpet owners for income, number of close friendships, and general health. Here are the data: Matched Pair Non-pet Owner Pet Owner A 12 14 B 8 7 C 10 13 D 9 9 E 7 13 F 10 12 1. What is the test statistic? Did you retain or reject the null? 2. Compute the 95% confidence interval of the difference. 3. Compute and interpret Cohen's D. 4. Write a sentence showing the outcome of the hypothesis test. Make sure you include all relevant information including the effect size. Use the following data: Treatment 1 Treatment 2 Difference 10 13 3 12 12 0 8 10 2 6 10 4 5 6 1 7 9 2 M=8 M=10 M=2 SS=34 SS=30 SS=10 5. Assume the data above are from two INDEPENDENT samples. Estimate the sampling error by computing the pooled variance and then the standard error. (Note this is from last chapter). 6. Assume the data above are from two DEPENDENT samples. Estimate the sampling error by computing the standard error of the difference. Notice that it should be smaller than the between-subjects design because within-subjects designs reduce error. 7. Conduct the dependent-samples t-test. What is the test statistic? Retain or reject? 8. Compute an effect size and interpret it. 9. Compute the 95% CI.