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QUESTION 1 (2 points. Full credit if 3 correct. Half credit if 1 correct.) la. Researchers at a California state environmental group want to test a plan to reduce car emissions in Los Angeles. They conduct an experiment with two groups of daily drivers: one group is given free vouchers for a newly renovated train line and a booklet on how best to use the transit system, and the other group is simply given the booklet. Every day, the rescarchers asked the drivers how many miles they drove that day. In this example, is the DV and is the IV a. transit system booklet; miles per day b. free vouchers; miles per day c. transit system booklet; car emissions d. free vouchers; car emissions e. miles per day; transit system booklet f. miles per day; free vouchers g. car emissions; transit system booklet h. car emissions; free vouchers lb. You have just completed a between-subjects experiment in which you will compare two groups. You notice that Group 1 (N-27) has a mean-3.7 and Group 2 (N-26) has a mean-2.2. One underlying assumption of our independent samples t-test is: a. b. C. d. Nonc of the above lc. For the above experiment, what is your df for the independent samples t-test? a. b. 52 C. d. 25 e. 26 f. 27 1d. In another between-subjects experiment in which you are examining any possible difference between two groups, you calculate a 95% CI for the mean difference: (-3.01, 15.93). What is your conclusion? (choose all that apply) a. We fail to reject the null hypothesis at the 1% significance level b. We fail to reject the null hypothesis at the 5% significance level c. We reject the null hypothesis at the 1% significance level d, we reject the null hypothesis at the 5% significance level e. There is not enough information provided to make a conclusion 1c. In your final between-subjccts experiment you randomly assigned participants to two groups. Both groups have 7 participants. Your alternative hypothesis is that Group A has a different mean than Group B. You run an independent samples t-test and find that t-3.013. What is your conclusion? (choose all that apply) a. We fail to reject the null hypothesis at the 1% significance level b. We fail to reject the null hypothesis at the 5% significance level C. We reject the null hypothesis at the 1% significance level d. We reject the null hypothesis at the 5% significance level e. There is not eno 1,101 words

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