Use SPSS to analyze the referenced data set(s) appropriately and answer the questions that follow. Please round final percentages to one decimal point and other answers to 2 decimal points. (23 total points)

1. An industrial psychologist finds that the numbers of errors employees make increase as the day progresses, reaching a peak between 3:00 and 5:00 PM. She randomly divides a sample of 20 employees into two groups. One group takes a 15-minute coffee break from 2:45 to 3:00 PM (Break Group). The other group proceeds on the same work schedule as before without a break (No Break Group). Below are the subsequent numbers of errors made between 3:00 and 5:00 PM by each of the groups.These data have already been entered into an SPSS data file called "SPSS Computational Problem - Data Set B" that you must download from Canvas. In the SPSS file Work Schedule Group is coded as: 1 = Break Group, 2 = No Break Group. Did the 15-minute coffee break affect the number of employee errors?

Break Group	No Break Group
5	2
6	3
7	4
4	3
8	4
9	4
6	3
5	1
7	5
6	4

Note. Work Schedule Group: 1 = Break Group, 2 = No Break Group.

1. Write the null hypothesis using mathematical notation (2 pts.) H₀: ________________
2. Write the alternative hypothesis using mathematical notation (2 pts.) H₁: ________________
3. What is the mean number of errors made by each group (2 pts.)? Break Group: ____ No Break Group: ____
4. Usinga = .05, does it appear that the data violated the homogeneity of variances assumption (2 pts.)? ________________
5. Which row of results for comparing their means should you use (2 pts.)? ________________
6. Using = .05, two-tailed, should we reject or retain the null hypothesis (2 pts.)? ________________
7. What is the mean difference between the numbers of errors made by the groups (1 pt.)? ________________
8. What is the effect size for the analysis (2 pts.)? ________________
9. Write results of the analysis in APA notation: (2 pts.): ________________

Did the 15-minute coffee break affect the number of employee errors? Specifically interpret the results of the analysis and explain any differences you may have found (6 pts.). ____________________________________________________________________________________