Stats/Methods II

1. Stats/Methods II JEOPARDY

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

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 • μA1B1 = μA1B2 = μA2B1 = μA2B2 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 Tcrit= 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 SSAxB? • Back to board

40. Factorial Designs--$300 • A: What is MSwithin 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