Descriptive Statistics of Employees' Sales Characteristics

Name Minutes with client Probability

scale

Phil 120 90%

Jenny2418%

Doug 30 22%

Kristy 20 10%

Andrew 80 60%

Maegan 40 60%

Chris 60 45%

Katie 20 15%

Bob 80 55%

From each cell phone sold, Susan's company earns $45 before paying her workers. Because she's working with very thin margins, she needs to identify which sales strategies and which employees are a good match for her company and which employees she should consider letting go. Each employee works 8 hours per day 5 days a week and gets 2 weeks of vacation a year.

Given the variety of directions you could take this data, Susan

has some specific goals she'd like you to help with.

she needs to know how likely it is each employee makes enough

profit over the course of a year to cover their annual salary of $40,050.

, the average number of successful sales per day is normally

distributed. The mean of this distribution is 3.5 with a standard deviation of

0.5 sales per day. How likely is she to be able to replace any employees losing

her money?