Problem 2. Marital Status. An insurance company has collected the following data
ID: 3266457 • Letter: P
Question
Problem 2. Marital Status. An insurance company has collected the following data on the gender and marital status of 300 customers.
Marital Status
Gender Single Married Divorced Total
Male 25 125 30 180
Female 50 50 20 120
Total 75 175 50 300
(a) What is the probability that an employee in the company is female?
(b) What is the conditional probability that an employee of the company is female, given that the person is married?
(c) Is the gender independent of the marital status? Why or why not?
(d) What is the probability that an employee is female or divorced? (Use the Addition Rule)
Explanation / Answer
a) probability that an employee in the company is female =(120/300)=0.40
b)conditional probability that an employee of the company is female, given that the person is married =(50/175)
=0.2857
c)as probability of married and female =50/300=0.1667
and probability of married *probability of female =(175/300)*(120/300)=0.2333
as above both probability are not equal they are not independent.
d)probability that an employee is female or divorced=(120+50-20)/300=0.5
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