Analyze the distībution of sales calls. Which distībution do you think Geoff should use for his analysis? Support your recommendation with your analysis. What standard should be used to determine if an employee has reached "full production status? Explain your reconmendation

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Geoff Brown is the manager for a small telemarketing fim and is evaluating the sales rate of
experienced workers in order to set minimum standards for new hires. During the past few weeks,
he has recorded the mumber of successful calls per hour for the staff. These data appear next along
with some summary statisties he worked out with a statistical software package. Geoff has been a
student at the local community college and has heard of many different kinds of probability
distrībutions (binomial, normal, hypergeometric, Poisson, etc.). Could you give Geoff some advice
on which distribution to use to fit these data as well as possible and how to decide when a
probationary employee should be accepted as having reached full production status? This is
important because it means a pay raise for the employee, and there have been some probationary
employees in the past who have quit because of discouragement that they would never meet the
standard. Successful sales calls per hour during the week of August 14:
4 2 314552 32 2 4525 330
1 3 2 8 4 5 2 2 4 15 5 4 5 1 2 4
Descriptive statisties:
Mean
Median
Std. Dev.
Min.
Max.
14
3rd
Quart.
Quart.
35
3.229
3.000
1.682
0.0
8.0
2.0
5.0
Analyze the distrıbution of sales calls. Which distibution do you think Geoff should use for his
analysis? Support your recommendation with your analysis. What standard should be used to
determine if an employee has reached "full production" status? Explain your recommendation.
Transcribed Image Text:Geoff Brown is the manager for a small telemarketing fim and is evaluating the sales rate of experienced workers in order to set minimum standards for new hires. During the past few weeks, he has recorded the mumber of successful calls per hour for the staff. These data appear next along with some summary statisties he worked out with a statistical software package. Geoff has been a student at the local community college and has heard of many different kinds of probability distrībutions (binomial, normal, hypergeometric, Poisson, etc.). Could you give Geoff some advice on which distribution to use to fit these data as well as possible and how to decide when a probationary employee should be accepted as having reached full production status? This is important because it means a pay raise for the employee, and there have been some probationary employees in the past who have quit because of discouragement that they would never meet the standard. Successful sales calls per hour during the week of August 14: 4 2 314552 32 2 4525 330 1 3 2 8 4 5 2 2 4 15 5 4 5 1 2 4 Descriptive statisties: Mean Median Std. Dev. Min. Max. 14 3rd Quart. Quart. 35 3.229 3.000 1.682 0.0 8.0 2.0 5.0 Analyze the distrıbution of sales calls. Which distibution do you think Geoff should use for his analysis? Support your recommendation with your analysis. What standard should be used to determine if an employee has reached "full production" status? Explain your recommendation.
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