Reference no: EM13578893

Question 1:

You have been given sample data from two offices and told that the 95% confidence interval for the difference of mean in overtime hours per year is -.01 to 100. What can you say about the difference in average overtime hours for each office?

A. Overtime hours are statistically significant at alpha=.05

B. Overtime hours are not statistically significant at a 95% confidence level.

C. Overtime hours are practically significant.

D. We can't tell from the data.

Question 2:

What if I told you in Q1 above that the sample sizes were n=20 and n=30 for each office, what would you say then?

A. A sample size of 30 is the minimum sample size to make the law of large numbers work, so we cannot draw conclusions from this data.

B. Use a t-score for the smaller sample and a z-score for the larger one.

C. If the sample sizes were increased, we would likely see a statistically significant difference at the 95% confidence level.

D. A and C

E. B and C

Question 3:

You have conducted a pilot study of a new initiative to improve employee morale, using experimental design on samples of employees, and you have found that in a regression equation morale has improved by 2 points out of 10, with a p-value of .07.

What can you say about your pilot study?

A. The t-score for my regression coefficient is likely less than 2.

B. My regression coefficient does not meet standards for statistical significance, and on that basis I cannot draw firm conclusions about my innovation.

C. This is a pilot study, so I can draw some tentative conclusions about my innovation.

D. A and C.

E. All of the above.