BMG 26S FINAL EXAM NAME: 3. The human resource department of a manufacturing com
ID: 2909284 • Letter: B
Question
BMG 26S FINAL EXAM NAME: 3. The human resource department of a manufacturing company implemented a new policy for employee time off, which combined all sick days, personal days, and vacation days into one single category of 186 hours of Paid Time off. Previously, employees had been allowed 80 vacation hours, 80 sick hours, and 24 personal hours off annually, and could not exceed the limits within any category. The HR department has just received the following reports on number of hours absent for a random sample of 30 employees, for both the year prior to implementation of the new time off policy and the first year of implementation of the new policy Before PTO After PTO Mean Median Mode 106.73 96.00 96.00 34.81 1.02 136.00 48.00 184.00 3202.00 30.00 13.00 155.80 167.00 180.00 Mean Median Mode Standard Deviatiorn Skewness Range Minimum Maximum Sum Count Standard Deviation 26.77 0.93 80.00 100.00 180.00 4674.00 Skewness Range Minimum Maximum Sum Count Confidence Level(95.0%) 30.00 Use all of the descriptive statistics provided above to determine and explain the impact, if any, of the new policy on employees' use of time off. (15 Points)Explanation / Answer
Answer:
From given two outputs for descriptive statistics for employee time off period before and after the implementation of the new time off policy by a manufacturing company. It is observed that the average time off period before the implementation of new policy was 106.73 hours with the standard deviation of 34.81 hours. The average time off period after the implementation of new policy is given as 155.80 hours with the standard deviation of 26.77 hours. That is, the average time off period is increased after the launching of a new time off policy for employees. Standard deviation is decreases after implementation of new time off policy. The median and mode value for before PTO is same and it is given as 96 hours. Coefficient of skewness is given as 1.02, this indicates that data for before PTO is positively skewed while the coefficient of skewness for after PTO is negative; this means data for after PTO is negatively skewed. Margin of error before PTO is given as 13 while margin of error after PTO is given as 10. This means, the width of the confidence interval for average time off period after PTO decreases as compared to that of before PTO. If we compared the minimum and maximum values for the time off periods for employees of the manufacturing company, it is observed that the minimum time is less before launching new policy and maximum value is greater before launching new policy. This means range for time off period before new policy is more. This means, there was more variation in the time off period before launching the new time off policy.
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