Use the following for questions 15-25. A researcher is interested in determining whether Various stimulant drugs improve maze learning performance in rats. To nd out, the researcher recruits 12 rats and assigns 3 rats to one of4 iesearch conditions: caffeine, nicotine, cocaine7 placebo. Each rat completes the maze once and in only one research condition and is timed; time to complete the maze is the researcher's measure of performance. Answer the following questions considering the data below (alpha = .05) Caffeine Nicotine Cocaine Placebo 45.00 45.00 30.00 45.00 60.00 30.00 30.00 60.00 60.00 45.00 45.00 75.00 Mean 55.00 40.00 35.00 60.00 SStotal : 21 75 .00 What is the dependent Variable in this study? 0 Drug condition 0 Time to complete maze 0 Number of rats 0 Research conditions QUESTION 16 What analysis should be used to answer the researcher's question? 0 One-way between-subjects (a.k. a. independent-samples) ANOVA O One-way within-subjects (a.k.a. dependent-samples, repeated-measures) ANOVA O Factorial ANOVA O T-test QUESTION 17 What is the Null hypothesis for this analysis? What is the critical F value for this analysis? O 3.84 O 4.07 O 6.04 O 19.00 QUESTION 21 What is the SSbetween-groups value? O 425 O 900 O 1275 O 2175 QUESTION 22 What is the SSwithin value? O 425 O 900 O 1275 O 2175QUESTION 23 What is the observed test statistic; in other words, what is the value of the F-ratio? O 3.78 O 4.56 O 10.33 0 26.75 QUESTION 24 What decision should be made regarding the null and alternative hypotheses? O Reject the null hypothesis 0 Retain the null hypothesis 0 Prove the null hypothesis 0 Prove the alternative hypothesis QUESTION 25 What is eta squared for this analysis? 0 0.14 O 0.41 O 0.59 O 0.71 QUESTION 26 When comparing more than two treatment means, why should you use an analysis of variance instead of using several t tests? Using several t tests increases the risk of a Type I error. Using several t tests increases the risk of a Type II error. The analysis of variance is more likely to detect a treatment effect. There is no advantage to using an analysis of variance instead of several t tests. QUESTION 27 On average, what value is expected for the F-ratio if the null hypothesis is true? O 1 O k -1 ON - K QUESTION 28 For a within-subjects ANOVA, what happens to the individual differences in the denominator of the F-ratio? They do not exist because the same individuals participate in all of the treatments. They are measured and subtracted out in the second stage of the analysis. Individual differences contribute to the variance in the numerator. None of the other options accurately describes individual differences in the numerator