T F 1. A Type I error is deciding that Ha: is supported when it is actually false. | |||||||||

T F 2. If there was a positive correlation between pay and job satisfaction for | |||||||||

men, but just the opposite for women, gender would be an example of a moderator. | |||||||||

T F 3. If A precedes B and the correlation between the two variables is r | |||||||||

= .78, it would be correct to say that A causes B. | |||||||||

T F 4. In a normal distribution, one would expect aproximately 68% of | |||||||||

the observations to fall within plus or minus one standard deviation. | |||||||||

T F 5. In a Chi-square test with two rows and three columns there | |||||||||

would be two degrees of freedom (df). | |||||||||

T F 6. Conducting true experiments with employees in organizations is relatively easy to do. | |||||||||

T F 7. The best type of study to determine causality is a correlational design. | |||||||||

T F 8. If a researcher wanted to determine whether there was any | |||||||||

difference in the number of days missed by a group of employees after implementing | |||||||||

a particularly harsh program for unexcused absences, compared with the number of | |||||||||

days missed before the program was implemented, the correct test would be an | |||||||||

independent samples one-tailed ttest. | |||||||||

T F 9. If a researcher was not only interested in the relationship between | |||||||||

the perceived fairness of supervisory actions and job performance (sales in $), | |||||||||

both of which could be measured at a ratio level, but also in | |||||||||

predicting performance based on those perceptions of fairness, the | |||||||||

appropriate statistical procedure useful for making those predictions is | |||||||||

known as regression analysis. | |||||||||

T F 10. When a variable is standardized, the mean of the standardized | |||||||||

variable is always 1. | |||||||||

T F 11. If one wanted to determine if there was a difference in income | |||||||||

between West Virginians, Kentuckians, and Virginians, the correct test | |||||||||

to use would be a two-tailed t test. | |||||||||

T F 12. If the ttest resulted in a t of -2.56 and the critical value for the | |||||||||

t was 1.96, one would conclude that the Ha was supported. | |||||||||

T F 13. If one wanted to determine if whether employees liked Health | |||||||||

Plan A or Health Plan B based on their age, annual income, and weight, | |||||||||

the correct statistical technique would be basic multiple regression. | |||||||||

T F 14. If one wanted to determine if income is predicted by whether one | |||||||||

was born in a large or small city, reared by one or both parents, and | |||||||||

the number of years of education, an appropriate technique to use would be dummy | |||||||||

variable regression. | |||||||||

T F 15. If the computed chi-square excedes its critical value, one should | |||||||||

reject Ha and conclude that Ho is supported. | |||||||||

Questions 16 - 20 (3 pts. Each) | |||||||||

16. In a study of marital status (single, married, or married with children in the home) | |||||||||

and how happy the employee was with the job (not happy, ok, or happy), the calculated | |||||||||

chi square resulted in a value of 8.22. What would you conclude? Why? | |||||||||

17. You want to see if blue collar workers miss fewer days of work a month | |||||||||

after a program designed to improve employee morale was implemented. | |||||||||

. What statistical technique or test would you use? Be specific! | |||||||||

18. You are interested in determining whether there's a statistically significant difference | |||||||||

in attendance at your company picnic where 153 out of the 223 hourly workers | |||||||||

attended and 52 of the 121 salaried workers attended (alpha = .05). What do you conclude and why? | |||||||||

19. In a normal distribution with a mean of 30 and a standard deviation of 9.8, | |||||||||

what is the probability that an observation would be below 32? | |||||||||

Show your work! | |||||||||

20. In a comparison of line versus staff employees in terms of the number of days | |||||||||

missed in a year and with the question of do line miss more days than staff, | |||||||||

the sample of 25 individuals resulted in a t of -1.88 and the mean number of days | |||||||||

missed by line was 12.3 while the mean number of days missed by staff was 9.1. | |||||||||

What do you conclude and why? |

Subject | Business |

Due By (Pacific Time) | 10/07/2015 07:38 pm |

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