x P(x)
2 .50
8 .30
10 .20
x P(x) xP(x) x2P(x)
2 0.50 1.00 2.00
8 0.30 2.40 19.20
10 0.20 2.00 20.00
Total 1.00 5.40 41.20 Mean = 5.40
Variance = 41.20 - 5.40^2 = 12.04 Answer: Mean is 5.4 and variance is 12.04
2. The Computer Systems Department has eight faculty, six of whom are tenured. Dr. Vonder, the chair, wants to establish a committee of three department faculty members to review the curriculum. If she selects the committee at random: a. What is the probability all members of the committee are tenured?
6C3/ 8C3 = 20/56=5/14
Answer: 5/14
b. What is the probability that at least one member is not tenured? (Hint: For this question, use the complement rule). …show more content…
New Process, Inc., a large mail-order supplier of women’s fashions, advertises same-day service on every order. Recently, the movement of orders has not gone as planned, and there were a large number of complaints. Bud Owens, director of customer service, has completely redone the method of order handling. The goal is to have fewer than five unfilled orders on hand at the end of 95% of the working days. Frequent checks of the unfilled orders follow a Poisson distribution with a mean of two orders. A Poisson distribution is a discrete frequency distribution.
X = number of orders unfilled , X has a Poisson distribution with mean =2
P(X fewer than 5) = P(X<5) = P(X=0)+P(X=1)+P(X=2)+P(X=3)+P(X=4) = 0.9473 =