1. Stats/Methods II JEOPARDY

2. Jeopardy Chi-Square Single-Factor Designs Factorial Designs Ordinal Data Surprise $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500 $400

3. Chi-Square--$100 Data must be measured on this type of scale in order to use the Chi-Square statistic. answer

4. Chi-Square--$200 The proportions specified by the null hypothesis are used to compute these. answer

5. Chi-Square--$300 If an individual in the sample is counted in more than one category, then this assumption is violated. answer

6. Chi-Square--$400 Use this test to determine whether consumers have a preference among four leading brands of toothpaste. answer

7. Chi-Square--$500 The measure of effect size used for a 2 x 2 matrix and a matrix larger than 2 x 2, respectively. answer

8. Single-Factor Designs--$100 With a single independent variable manipulated between subjects and k = 2, the two suitable tests for determining whether a mean difference exists. answer

9. Single-Factor Designs--$200 In a within-subjects design, the same participant serves in all treatments, therefore individual differences are automatically removed as a source of variability in this SS. answer

10. Single-Factor Designs--$300 For a repeated measures design, we are quantifying the consistent performance of participants due to individual differences when we compute this. answer

11. Single-Factor Designs--$400 A researcher uses an independent- measures t-test to evaluate the mean difference between two groups and obtains t = 3. If the researcher had used an ANOVA instead, F would equal _____. answer

12. Single-Factor Designs--$500 Use this post-hoc test to compute the minimum difference between treatment means required to reach significance. However, n must be equal for all Ks. answer

13. Factorial Designs--$100 μ A1B1 = μ A1B2 = μ A2B1 = μ A2B2 states there will be no _________. answer

14. Factorial Designs--$200 In factorial ANOVA, the name of the residual SS or the left-over between treatments variability after the other two sources have already been accounted for. answer

15. Factorial Designs--$300 The error term for all three F-ratios. answer

16. Factorial Designs--$400 When the matrix of means is larger than 2 x 2, follow up a significant interaction with this. answer

17. Factorial Designs--$500 For a 2 x 3 design, the minimum number of columns required to correctly enter the data into SPSS. answer

18. Ordinal Data--$100 Analogous to a paired-samples t- test. answer

19. Ordinal Data--$200 When k > 2 but a one-way ANOVA can’t be performed, convert the numerical scores to ranks and conduct this test. answer

20. Ordinal Data--$300 The parametric counterpart to the Mann-Whitney test. answer

21. Ordinal Data--$400 The statistical decision if the Wilcoxon T = 3 and T crit = 4. answer

22. Ordinal Data--$500 If every score in group A is higher than every score in group B, the final Mann-Whitney U will equal ___. answer

23. Surprise--$100 A variant of the repeated samples design in which great care is taken to minimize individual differences between two participants—one is then assigned to treatment 1 and the other is assigned to treatment 2. answer

24. Surprise--$200 This is approximately equal to # of comparisons X alpha per comparison. answer

25. Surprise--$300 If Fcrit = 4.0 for a particular data set, tcrit = ___ for that same data set. answer

26. Surprise--$400 These comparisons directly follow from the research hypothesis and are usually few in number, so no special precautions are required. answer

27. Surprise--$500 This part of the F-ratio is the same for single-factor between-subjects and within-subjects designs. answer

28. Chi-Square--$100 A: What is nominal? Back to board

29. Chi-Square--$200 A: What are expected frequencies? Back to board

30. Chi-Square--$300 A: What is the assumption of independence? Back to board

31. Chi-Square--$400 A: What is goodness of fit? Back to board

32. Chi-Square--$500 A: What are the phi- coefficient and Cramer’s V? (in that order) Back to board

33. Single-Factor Designs--$100 A: What are t-test for independent groups and one- way between-subjects ANOVA? Back to board

34. Single-Factor Designs--$200 A: What is SS Between Treatments ? Back to board

35. Single-Factor Designs--$300 A: What is SS Between Subjects ? Back to board

36. Single-Factor Designs--$400 A: What is 9? Back to board

37. Single-Factor Designs--$500 A: What is Tukey’s HSD test? Back to board

38. Factorial Designs--$100 A: What is interaction? Back to board

39. Factorial Designs--$200 A: What is SS AxB ? Back to board

40. Factorial Designs--$300 A: What is MS within treatments ? Back to board

41. Factorial Designs--$400 A: What is an analysis of simple main effects? Back to board

42. Factorial Designs--$500 A: What is 3? Back to board

43. Ordinal Data--$100 A: What is the Wilcoxon signed-ranks test? Back to board

44. Ordinal Data--$200 A: What is Kruskal-Wallis? Back to board

45. Ordinal Data--$300 A: What is a t-test for independent samples? Back to board

46. Ordinal Data--$400 A: What is reject Ho? Back to board

47. Ordinal Data--$500 A: What is U = 0? Back to board

48. Surprise--$100 A: What is a matched pairs or related samples design ? Back to board

49. Surprise--$200 A: What is experimentwise error? Back to board

50. Surprise--$300 A: What is 2? Back to board

51. Surprise--$400 A: What are planned comparisons? Back to board

52. Surprise--$500 A: What is MS Between Treatments ? Back to board