# Project #85733 - Stat

 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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