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# A LAWSUIT HAS BEEN FILED AGAINST YOUR COMPANY BY A DISGRUNTLED

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Author: Christine Farr
##### Description:

http://theperfecthomework.com/a-lawsuit-has-been-filed-against-your-company-by-a-disgruntled-employee-it-seems-that-the-bonuses-you/

A lawsuit has been filed against your company by a disgruntled employee.  It seems that the bonuses you awarded were flawed and those who were awarded bonuses based on their high transactions only did because they ignored a large percentage of customers who would not have purchased anything.  Per the company policy, all customers are to be treated equally.  The employees allegedly ignored customers based on gender, ethnicity and age.  You cannot afford a lawyer so you are defending yourself in court and based on your knowledge of Statistics, you are going to show the judge that your employees were awarded bonuses correctly.

The court wants to review employees with transactions from 80-99.  I believe there are six employees in this category.  Please complete the chart below.  You must convert each employee’s transaction score and OppVol into a z-score.  You then must identify the area (%) that corresponds to the z-score.

For Transaction, use the mean 60.76 and the standard deviation 15.11.
For OppVol, use the mean 385.68 and the standard deviation 380.75.

Formula:
x = raw score “value”
= standard deviation
= mean

Employee Number

Employee Name

Transaction

z-score

OppVol

z-score

1

M. Davis

81

52

2

M. Mayo

82

30

3

L. Endsoy

86

861

4

C. McMillion

88

173

5

S. Reda

95

258

6

J. Dixon

96

1050

Using the z calculated, we then find corresponding p-value from standard normal table
Employee Number

Employee Name

Transaction

p-value

OppVol

p-score

1

M. Davis

81

1.34 = 0.9099 = 90.99%

52

-0.88 = 0.1894 = 18.94%

2

M. Mayo

82

1.41 = 0.9207 = 92.07%

30

-0.93 = 0.1762 = 17.62%

3

L. Endsoy

86

1.67 = 0.9525 = 95.25%

861

1.25 = 0.8944 = 89.44%

4

C. McMillion

88

1.80 = 0.9641 = 96.41%

173

-0.56 = 0.2877 = 28.77%

5

S. Reda

95

2.27 = 0.9884 = 98.84%

258

-0.34 = 0.3669=36.69%

6

J. Dixon

96

2.33 = 0.9901 = 99.01%

1050

1.74 = 0.9591 = 95.91%

To make the decision below, the employee must be above 70% of their peers in transactions and over 38% in OppVol.  If they exceed both metrics, then the employee does not deserve the bonus.

1.     Did Employee #1 deserve the bonus? NO
2.     Did Employee #2 deserve the bonus? NO
3.     Did Employee #3 deserve the bonus? YES
4.     Did Employee #4 deserve the bonus? NO
5.     Did Employee #5 deserve the bonus? NO
6.     Did Employee #6 deserve the bonus? YES
7.     Did the majority of the employees from the sample deserve the bonus?  If yes, you won the case.

(more)
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