The client company data from the New Vision consulting firm reveal that 155 employees worked one of four types of positions. The raw values matrix (contingency table) with the frequency counts for each job category by gender is presented in the table below. If an employee of the company is selected randomly, what is the probability that the employee is female or an operations manager? Types of Position Gender Male Female Operations Manager Customer relations Manager IT Manager Treasury Manager Total 8 3 31 13 52 17 9. 100 22 55

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The client company data from the New Vision consulting firm reveal that 155 employees
worked one of four types of positions. The raw values matrix (contingency table) with the
frequency counts for each job category by gender is presented in the table below. If an employee
of the company is selected randomly, what is the probability that the employee is female or an
operations manager?
Types of Position
Gender
Male
Female
Operations Manager
Customer relations Manager
IT Manager
Treasury Manager
8
3
31
13
52
17
9.
22
Total
100
55
Transcribed Image Text:The client company data from the New Vision consulting firm reveal that 155 employees worked one of four types of positions. The raw values matrix (contingency table) with the frequency counts for each job category by gender is presented in the table below. If an employee of the company is selected randomly, what is the probability that the employee is female or an operations manager? Types of Position Gender Male Female Operations Manager Customer relations Manager IT Manager Treasury Manager 8 3 31 13 52 17 9. 22 Total 100 55
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