In: Statistics and Probability
Question 7
A telephonist claims that he gets 10 calls every five minutes. To demonstrate this to his boss he makes a tape lasting five minutes. What are the probabilities that he gets:
(a) no calls in the five minutes; (2)
(b) less than three calls; and (5)
(c) exactly 10 calls? (2) [9]
Question 8
Assume that matric marks are standardised to have a mean of 52% and a standard deviation of 16% (and assume that they have a normal distribution). In a class of 100 students estimate how many of them:
(a) pass (in other words get more than 33,3%); (4)
(b) get A's (more than 80%); and (4)
(c) get B's (between 70% and 80%). (6) [14]
Question 9
As manager of a company you know that the distribution of completion times for an assembly operation is a normal distribution with a mean of 120 seconds and a standard deviation of 20 seconds. If you have to award bonuses to the top 10% of your workers what time would you use as a cut-off time?
7) = 10
It is A poision distribution.
P(X = x) = e/X!
A) P(X = 0) = e^(-10) * (10)^0/0! = 0.000045
B) P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)
= e^(-10) * (10)^0/0! + e^(-10) * (10)^1/01! + e^(-10) * (10)^2/2! = 0.00277
C) P(X = 10) = e^(-10) * (10)^10/10! = 0.12511
8) a) P(X > 33.3)
= P((X - )/ > (33.3 - )/)
= P(Z > (33.3 - 52)/16)
= P(Z > -1.17)
= 1 - P(Z < -1.17)
= 1 - 0.1210
= 0.8790
Expected number of pass students = 100 * 0.8790 = 87.90 = 88
B)
P(X > 80)
= P((X - )/ > (80 - )/)
= P(Z > (80 - 52)/16)
= P(Z > 1.75)
= 1 - P(Z < 1.75)
= 1 - 0.9599
= 0.0401
Expected number students get A = 100 * 0.0401 = 4.01= 4
C) P(70 < X < 89)
= P((70 - )/ < (X - )/ < (80 - )/)
= P((70 - 52)/16 < Z < (80 - 52)/16)
= P(1.13 < Z < 1.75)
= P(Z < 1.75) - P(Z < 1.13)
= 0.9599 - 0.8708
= 0.0891
Expecting number of students get B = 0.0891 * 100 = 9.91 = 10
9) P(X > X) = 0.10
Or, P((X - )/ > (x - )/) = 0.10
Or, P(Z > (x - 120)/20) = 0.10
Or, P(Z < (X - 120)/20) = 0.90
Or, (X - 120)/20 = 1.28
Or, X = 1.28 * 20 + 120
Or, X = 145.6