The client company data from the Decision Dilemma reveal that 155 employees worked one of the 4 types of positions. Shown here are again is the raw values matrix called contingency table with frequency counts for each category and for subtotals and totals containing a breakdown of these employees by type of position and sex. If an employee of the company is selected randomly, what is the probability that the employee is female or a professional worker?   Company Human Resource data:     SEX   Type of position   Male FEMALE   MANAGERIAL 8 3 11 Professional 31 13 44 Technical 52 17 69 clerical 9 22 31   100 55 155

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The client company data from the Decision Dilemma reveal that 155 employees worked one of the 4 types of positions. Shown here are again is the raw values matrix called contingency table with frequency counts for each category and for subtotals and totals containing a breakdown of these employees by type of position and sex. If an employee of the company is selected randomly, what is the probability that the employee is female or a professional worker?

 

Company Human Resource data:

 

 

SEX

 

Type of position

 

Male

FEMALE

 

MANAGERIAL

8

3

11

Professional

31

13

44

Technical

52

17

69

clerical

9

22

31

 

100

55

155

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