1. 230 Jeopardy Unit 4 Chi-Square Repeated- Measures ANOVA Factorial Design Factorial ANOVA Correlation $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500 $400

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

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

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

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

6. 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

7. Repeated ANOVA--$100 The consistent performance (individual differences) of a subject is represented by this SS. answer

8. Repeated ANOVA--$200 Because the same participant serves in all treatments, individual differences are automatically removed as a source of variability in this SS. answer

9. Repeated ANOVA--$300 In a repeated measures design, if F(3, 24) = 4.67, then each participant serves in ___ treatment conditions. answer

10. Repeated ANOVA--$400 When figuring SSs in a within-subjects design, ___ is often referred to as the residual term because it is the variability left after ___ is subtracted from it. answer

11. Repeated ANOVA--$500 In a repeated-measures design, if k = 5 and df Total = 40, then df Within Treatments = ___. answer

12. Factorial Design--$100 μ A1 = μ A2 assumes there will be no _________. answer

13. Factorial Design--$200 The major advantage of conducting a factorial experiment is the ability to assess this. answer

14. Factorial Design--$300 The two values you need to look up the critical value of F AxB. answer

15. Factorial Design--$400 In a factorial design, these effects may not accurately represent the mean differences between individual treatment conditions. answer

16. Factorial Design--$500 The analysis that looks for mean differences within an individual column (or row) of the treatment matrix. answer

17. Factorial ANOVA--$100 The number of hypothesis tests included in a two-factor ANOVA. answer

18. Factorial ANOVA--$200 In a factorial experiment, this type of variability is partitioned into 3 components. answer

19. Factorial ANOVA--$300 When looking at an AB treatment matrix, the numbers that enter into tests of main effects. answer

20. Factorial ANOVA--$400 In a 4x2 factorial design, the number of treatment totals entering into the analysis for the interaction. answer

21. Factorial ANOVA--$500 In order to graph the interaction, calculate _____ and plot them. Lines that _______ indicate the possibility of an interaction. answer

22. Correlation--$100 When two variables tend to move in the same direction answer

23. Correlation--$200 A perfect correlation is indicated by a correlation coefficient of answer

24. Correlation--$300 On a scatterplot, a negative correlation looks like this answer

25. Correlation--$400 Compute this to determine whether a consistent relationship exists between two rank-order measures. answer

26. Correlation--$500 Conceptually, the Pearson correlation coefficient is computed by dividing _________ by _________. answer

27. Chi-Square--$100 A: What is nominal (or ordinal)? Back to board

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

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

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

31. Chi-Square--$500 A: What is phi and Cramer’s V? Back to board

32. Repeated-M ANOVA--$100 A: What is SS Between Subjects ? Back to board

33. Repeated-M ANOVA--$200 A: What is SS Between Treatments ? Back to board

34. Repeated-M ANOVA--$300 A: What is 4? Back to board

35. Repeated-M ANOVA--$400 A: What is SS error and SS Between Subjects ? Back to board

36. Repeated-M ANOVA--$500 A: What is 36? Back to board

37. Factorial Design--$100 A: What is no main effect of A? Back to board

38. Factorial Design--$200 A: What is an interaction? Back to board

39. Factorial Design--$300 A: What are df AxB (numerator) & df Within Treatment (denominator)? Back to board

40. Factorial Design--$400 A: What are main effects? Back to board

41. Factorial Design--$500 A: What is simple main effects? Back to board

42. Factorial ANOVA--$100 A: What are 3? Back to board

43. Factorial ANOVA--$200 A: What is between treatments? Back to board

44. Factorial ANOVA--$300 A: What are column (or row) totals (or means)? Back to board

45. Factorial ANOVA--$400 A: What are 8? Back to board

46. Factorial ANOVA--$500 A: What are treatment means and converge or cross? Back to board

47. Correlation--$100 A: What is a positive correlation? Back to board

48. Correlation--$200 A: What is 1 (positive & negative)? Back to board

49. Correlation--$300 A: What is an envelope moving down from left to right? Back to board

50. Correlation--$400 A: What is the Spearman correlation? Back to board

51. Correlation--$500 A: What is Degree to which x & Y vary together Degree to which x and y vary separately Back to board