A company implemented a new sales management software program, hoping it will reduce the amount of time sales people spend on their computers. A sample of sales personnel computer usage before and after the new software implementation is provided below (also available for download here Computer.xlsx). At a 1% level of significance, can you conclude that the new software has reduced the amount of time sales people spend on their computers? YOU CAN ASSUME THE POPULATION TO BE NORMALLY DISTRIBUTED.Time Spent on Computer Employee IDBefore New Software (hrs/wk)After New Software (hrs/wk)914162.529930555827972.52.53083866.513294552627898749051010823587.58.5792991110.5102436.55.52136221523318.588698444582644.55566566.561477844704138.5871094678359811129717033208131111672188.58.5249455.54.592186338433954893816.56416275.54.584214109986792315551111235829658066677942366.56a) Properly state the mathematical hypotheses: b) p-value: c) Conclusion:

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Answered: A company implemented a new sales…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A company implemented a new sales management software program, hoping it will reduce the amount of time sales people spend on their computers. A sample of sales personnel computer usage before and after the new software implementation is provided below (also available for download here Computer.xlsx). At a 1% level of significance, can you conclude that the new software has reduced the amount of time sales people spend on their computers? YOU CAN ASSUME THE POPULATION TO BE NORMALLY DISTRIBUTED.

Time Spent on Computer
Employee ID	Before New Software (hrs/wk)	After New Software (hrs/wk)
91416	2.5	2
99305	5	5
82797	2.5	2.5
30838	6	6.5
13294	5	5
26278	9	8
74905	10	10
82358	7.5	8.5
79299	11	10.5
10243	6.5	5.5
21362	2	1
52331	8.5	8
86984	4	4
58264	4.5	5
56656	6.5	6
14778	4	4
70413	8.5	8
71094	6	7
83598	11	12
97170	3	3
20813	11	11
67218	8.5	8.5
24945	5.5	4.5
92186	3	3
84339	5	4
89381	6.5	6
41627	5.5	4.5
84214	10	9
98679	2	3
15551	11	12
35829	6	5
80666	7	7
94236	6.5	6

a) Properly state the mathematical hypotheses:

b) p-value:

c) Conclusion:

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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