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51.A production process produces 2% defective parts. A sample of

Question : 51.A production process produces 2% defective parts. A sample of : 1329671

 

 

51.A production process produces 2% defective parts. A sample of five parts from the production process is selected. What is the probability that the sample contains exactly two defective parts?

a.0.0004

b.0.0038

c.0.10

d.0.02

 

 

 

52.Excel's BINOM.DIST function can be used to compute

a.bin width for histograms

b.binomial probabilities

c.cumulative binomial probabilities

d.both binomial probabilities and cumulative binomial probabilities are correct.

 

 

 

53.Excel's BINOM.DIST function has how many inputs?

a.2

b.3

c.4

d.5

 

 

 

54.When using Excel's BINOM.DIST function, one should choose TRUE for the fourth input if

a.a probability is desired

b.a cumulative probability is desired

c.the expected value is desired

d.the correct answer is desired

 

 

 

55.The expected value for a binomial probability distribution is

a.E(x) ? pn(1 ? n)

b.E(x) ? p(1 ? p)

c.E(x) ? np

d.E(x) ? np(1 ? p)

 

 

 

56.The variance for the binomial probability distribution is

a.Var(x) ? p(1 ? p)

b.Var(x) ? np

c.Var(x) ? n(1 ? p)

d.Var(x) ? np(1 ? p)

 

 

 

57.The standard deviation of a binomial distribution is

a.E(x) ? np(1 ? n)

b.E(x) ? np(1 ? p)

c.E(x) ? np

d.None of the alternative answers is correct.

 

 

 

58.Assume that you have a binomial experiment with p ? 0.5 and a sample size of 100. The expected value of this distribution is

a.0.50

b.0.30

c.50

d.Not enough information is given to answer this question.

 

 

 

59.Assume that you have a binomial experiment with p ? 0.4 and a sample size of 50. The variance of this distribution is

a.20

b.12

c.3.46

d.Not enough information is given to answer this question.

 

 

 

60.Twenty percent of the students in a class of 100 are planning to go to graduate school. The standard deviation of this binomial distribution is

a.20

b.16

c.4

d.2

 

 

 

Exhibit 5-8

The student body of a large university consists of 60% female students. A random sample of 8 students is selected.

 

 

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