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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

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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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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