MGT 600: HRM Metrics and Analytics
Chapter 6 – Estimation and Confidence Intervals There’s not really much I can test you on from this chapter, since it basically “sets up” the other chapters! Chapter 7 – Hypothesis Testing Another “foundation” chapter – not a lot to test you on… 1. As far as hypothesis testing goes, I will show you a 2 x 2 grid (Decision vs. Reality) – you’ll need to fill

it in (Correct Decision, Type I Error, Type II Error). 2. As far as hypothesis testing goes, I will show you a 2 x 2 grid (Decision vs. Reality) – you’ll need to fill

it in (Correct Decision, False Positive, False Negative). 3. If you find a “statistically significant result” – do you accept or reject the null hypothesis? All Chapters 4. I will give you a scenario – it will include a combination of hypotheses, means, standard deviations,

etc. – and you’ll need to tell me what type of statistical test or calculation should be used. Your choices will include some combination of the following (HINT: Each correct answer will only appear once!):

a. z-Test b. One-Sample t-Test c. Independent-Samples t-Test d. Paired-Samples t-Test e. One-Way Analysis of Variance (ANOVA) f. Two-Way Analysis of Variance (ANOVA) g. Chi-Square (X

2 ) Test for Goodness of Fit

h. Chi-Square (X 2 ) Test for Association

i. Correlation j. Simple Linear Regression Analysis k. Multiple Regression Analysis

5. See question #4 6. See question #4 7. See question #4 8. See question #4 9. See question #4 10. See question #4 11. See question #4 12. See question #4 13. See question #4 14. See question #4

Chapter 8 – z-Tests and One-Sample t-Tests 15. I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and

based on the df and whether it is a one-tailed or two-tailed test, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

16. Again, I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df and whether it is a one-tailed or two-tailed test, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

17. Once again, I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df and whether it is a one-tailed or two-tailed test, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

18. One more time…I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df and whether it is a one-tailed or two-tailed test, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

Chapter 9 – Paired- and Independent-Samples t-Tests 19. I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and

based on the df and whether it is a one-tailed or two-tailed test, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

20. Again, I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df and whether it is a one-tailed or two-tailed test, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

21. Once again, I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df and whether it is a one-tailed or two-tailed test, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

22. One more time…I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df and whether it is a one-tailed or two-tailed test, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

Chapter 10 – Analysis of Variance (ANOVA) 23. An ANOVA calculation is based on a comparison between what two types of variance? Describe both. 24. I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and

based on the df, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

25. Again, I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

Chapter 11 – Chi-Square (X

2 ) Tests of Fit

26. In conducting a chi-square analysis (and specifically, single partitions), two requirements are mutual exclusivity and exhaustivity – describe both.

27. I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

Chapter 11 – Chi-Square (X 2 ) Tests of Fit (continued)

28. Again, I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

29. Once again, I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

30. One more time…I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

Chapter 12 – Correlation and Regression 31. What is the possible range of any given correlation coefficient? 32. Know the difference between a positive correlation, negative correlation, and zero correlation. I will

give you a definition and expect you to tell me which correlation I’m describing. 33. Again, know the difference between a positive correlation, negative correlation, and zero correlation. I

will give you an example using two variables and expect you to tell me which correlation is most likely. 34. Once again, know the difference between a positive correlation, negative correlation, and zero

correlation. I will give you an example using two variables and expect you to tell me which correlation is most likely.

35. I will list a series of correlation coefficients – you need to tell me which one is the strongest one. 36. Again, I will list a series of correlation coefficients – you need to tell me which one is the strongest one. 37. I will show you a scatterplot – you need to tell me which of four correlations is most representative of

the graph. 38. Again, I will show you a scatterplot – you need to tell me which of four correlations is most

representative of the graph. 39. What is meant by “restriction of range”? 40. What is meant by an “outlier”? 41. I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and

based on the df, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

42. Again, I will give you a solved problem. You’ll need to tell me, using the appropriate critical value table, and based on the df, if you should accept or reject the H0. You won’t have to do any calculations with formulas – but I do expect you to know what the results mean.

43. In statistics, what is the mathematical equation for the “best fit” regression line? 44. I will show you a regression equation – you’ll need to tell me which value is the y-intercept. 45. I will show you a regression equation – you’ll need to tell me which value is the slope. 46. I will give you a correlation coefficient – you’ll need to calculate a coefficient of determination. 47. By definition, what is a “coefficient of determination”? What does it tell you? 48. What is meta analysis? Path analysis? Factor analysis? 49. Again, what is meta analysis? Path analysis? Factor analysis? 50. Once again, what is meta analysis? Path analysis? Factor analysis? I know it looks like a lot of complicated stuff – but all of this will be covered in the course. Your textbook will serve as an additional reference and a source for more practice problems. To prepare, look back through my examples and the homework problems. In addition, study those critical value tables to feel more comfortable with their use when testing hypotheses – you won’t want to spend too much time answering any one exam problem.