In: Statistics and Probability
A company has a total of 30 employees.
17 employeers graduated from Berkeley.
Out of 30 employees, 18 are native Californians. Furthermore,
the company has 12 mechanical
engineers. Still, only 1 employee can claim the highest honor of
being a native Californian, Berkely graduate mechanical
engineer.
(a)If an employee is selected at random from this company, what
is the probability
that this employee is a Berkely graduate?
(b)A survey reveals that, out of 12 mechanical engineering
working at this company,
half are native Californians. How many Californians are not
mechanical engineers?
(c)Suppose that a native Californian is selected at random. The
probability that this
employee is an Berkeley graduate is 1/2. If a Berkeley graduate is
chosen at random, what is the probability that this employee is a
native Californian?
(d)When the Berkeley graduates come together for a basketball
game, there are only 3
mechanical engineers in the room. If an employee is selected at
random from this company,
what is the probability that this employee is an mechanical
engineer but neither a Berkeley graduate
nor a native Californian?
Please show work
Total number of employees = n(E) = 30
Employers graduated from berkley = n(B) 17
Employees who are native californians = n(C)18
Employees who are mechanical engineers = n(M) =12
Now from the given data ;
n(B^C^M) = 1
a) The probablility of an employee being berkley graduate = n(B)/n(E)
= 17/30
= 0.56
b) Also, from 12 mechanical engineers half are native californian
This means n(M^C) = 12/2 =6
Now , number of californian who are not mechanical engineers = n(C) - n(M^C) = 18-6 = 12
c) Given , when a native californian is selected , the probability that it is a berkley graduate is half.
This implies that n(B^C)/n(C) = 1/2
n(B^C) = 1/2 * n(C) =1/2 * 18 = 9
when a berkley graduate is selected , the probability that it is a native californian = n(B^C)/n(B)
= 9/17
= 0.529
d) When all the Berkley graduates came for a basketball match , there are only 3 Mechaical engineers ;
This implies that , n(B^M) = 3
Number of students who are mechanical engineers but not a berkley graduate or californian = n(M')
n(M') = n(M) - n(M^C) - n(M^B) + n(M^C^B)
= 12 - 6 - 3 + 1
= 4
Probability of students chosen at random who are mechanical engineers but not a berkley graduate or californian
P(M') = n(M')/ n(E) = 4/30 = 0.13
Hence, Probability of students chosen at random who are mechanical engineers but not a berkley graduate or californian is 0.13.