Engineering Data Analysis topic! Please have a concise analysis on the data. Thank you! I couldn't do it right now due to personal issues. Thank you again! I'll attach the files in a Google Drive link (https://drive.google.com/drive/folders/14HEli7FQJN8DGCr-eWq2OpM37Kh7Jo-S?usp=sharing)

Table 1 alaries of Assistant Professors in their Respective Department Faculty Salary Department 1 P 45.000 1 56.000 2 3 48,000 50.000 55,000 2 64.500 40.000 56,000 44.000 50,000 65,000 12 42.000 13 43.000 14 53,500 15 54.200 16 58,400 17 60.800 18 49.800 19 52.300 20 48.000 21 49.600 22 54.300 23 60.300 24 56.800 25 57.900 26 49.800 27 50.600 28 47.500 29 54.700 2 **(1) Engineering _(2) IT2. The management of Computer Store, a chain of discount computer stores in the Metro, designed an incentive plan for salespeople. To evaluate this innovative plan, 12 salespeople were selected at random, and their weekly incomes before and after the plan were recorded: SALESPEOPLE WEEKLY INCOME BEFORE AFTER 32,000 34.000 29,000 28,500 42,100 47,500 51,000 51,000 21,000 21,000 40.200 50.000 62,500 63.100 56,000 56.000 36,000 36,500 43,100 43,100 50.600 52,500 50,500 61,900 Was there a significant increase in the average salesperson's weekly income due to the innovative incentive plan? 3. The case at hand involves the average faculty salaries at XYZ University. The Chair of the Engineering department has learned that the average salary for Assistant Professors in her department is much lower than the average salary for Assistant Professors in the IT department. The Engineering department chair fears that this may be reflective of a shift in the priorities of the university. The chair wants to know if the magnitude of the difference between the average salaries of Engineering and IT Assistant Professors is large enough to attribute it to more than common or randomly occurring differences between the two groups. Table I shows the salary of each assistant professor in their respective department. Verify the claims using hypothesis testing.ENGINEERING DATA ANALYSIS ASSESSMENT NO. 3 1. A quality control engineer needs to ensure that the caps on shampoo bottles fastened correctly. If the caps are fastened too loosely, they may fall off during shipping. If they are fastened too tightly, they may be too difficult to remove. The target torque value for fastening the caps is 18. The engineer collects a random sample of 72 bottles and tests the amount of torque that is needed to remove the caps. Determine whether a significance difference exists on the torque measurements from the two machines (Table 1). Table 1 MACHINE A MACHINE B 18 24 18 20 23 19 18 16 20 17 19 28 24 22 16 23 18 25 18 26 18 18 19 19 21 19 22 17 20 17 15 18 24 23 23 15 22 18 21 19 18 19 20 19 20 20 20 20 21 17 18 15 18 16 21 26 20 20 20 18 17 22 23 16 18 20 18 19 15