A manufacturing company is analyzing its accident record. The accidents fall into  two categories:  Minor—dealt with by first aider: Average cost k50  Major—hospital required. Average cost k1,000 The company has 1,000 employees, of which 180 are office staff and the rest  work in the factory. The analysis shows that 10% of employees have an accident each year and 20%  of accidents are major. It is assumed that an employee has more than one  accident in a year. (i) Determine the expected total cost of accidents in a year.  On further analysis it is discovered that a member of office staff has half the  probability of having an accident relative those in the factory.  (ii)Show that the probability that a given a member of office staff has an  accident in a year is 0.0549. (iii) Determine the probability that a randomly chosen employee who has had  an accident is office staff.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 81E
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A manufacturing company is analyzing its accident record. The accidents fall into 
two categories:
 Minor—dealt with by first aider: Average cost k50
 Major—hospital required. Average cost k1,000
The company has 1,000 employees, of which 180 are office staff and the rest 
work in the factory.
The analysis shows that 10% of employees have an accident each year and 20% 
of accidents are major. It is assumed that an employee has more than one 
accident in a year.
(i) Determine the expected total cost of accidents in a year. 
On further analysis it is discovered that a member of office staff has half the 
probability of having an accident relative those in the factory. 
(ii)Show that the probability that a given a member of office staff has an 
accident in a year is 0.0549.
(iii) Determine the probability that a randomly chosen employee who has had 
an accident is office staff.

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