1.   A numerical description of the outcome of an experiment is called a a.   descri

Question
  1. 1.   A numerical description of the outcome of an experiment is called a
    1. a.   descriptive statistic
    2. b.   probability function
    3. c.   variance
    4. d.   random variable
  1. 2.   A random variable that can assume only a finite number of values is referred to as a(n)
  2. a.   infinite sequence
  3. b.   finite sequence
  4. c.   discrete random variable
  5. d.   discrete probability function
  1. 3.   A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a
  2. a.   uniform probability distribution
  3. b.   binomial probability distribution
  4. c.   hypergeometric probability distribution
  5. d.   normal probability distribution
  1. 4.   A continuous random variable may assume
  2. a.   any value in an interval or collection of intervals
  3. b.   only integer values in an interval or collection of intervals
  4. c.   only fractional values in an interval or collection of intervals
  5. d.   only the positive integer values in an interval
  1. 5.   A description of the distribution of the values of a random variable and their associated probabilities is called a
  2. a.   probability distribution
  3. b.   random variance
  4. c.   random variable
  5. d.   expected value
  1. 6.   Which of the following is a required condition for a discrete probability function?
  2. a.   ?f(x) = 0 for all values of x
  3. b.   f(x) 1 for all values of x
  4. c.   f(x) < 0 for all values of x
  5. d.   ?f(x) = 1 for all values of x
  1. 7.   A measure of the average value of a random variable is called a(n)
  2. a.   variance
  3. b.   standard deviation
  4. c.   expected value
  5. d.   coefficient of variation
  1. 8.   The number of electrical outages in a city varies from day to day. Assume that the number of electrical outages (x) in the city has the following probability distribution.

x

f(x)

0

0.80

1

0.15

2

0.04

3

0.01

The mean and the standard deviation for the number of electrical outages (respectively) are a. 2.6 and 5.77

b. 0.26 and 0.577

    • c.   3 and 0.01
    • d.   0 and 0.8
  1. 9.   The number of customers that enter a store during one day is an example of
  2. a.   a continuous random variable
  3. b.   a discrete random variable
  4. c.   either a continuous or a discrete random variable, depending on the number of the customers
  5. d.   either a continuous or a discrete random variable, depending on the gender of the customers
  1. 10.   Seven students have applied for merit scholarships. This year 3 merit scholarships were awarded. If a random sample of 3 applications (from the population of 7) is selected,
  1. a.   what is the probability that 2 students were recipients of scholarships?
  2. b.   what is the probability that no students were the recipients of scholarship?
  1. 11.   The weight of an object is an example of
  2. a.   a continuous random variable
  3. b.   a discrete random variable
  4. c.   either a continuous or a discrete random variable, depending on the weight of the object
  5. d.   either a continuous or a discrete random variable depending on the units of measurement
  1. 12.   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
  2. a.   20
  3. b.   16
  4. c.   4
  5. d.   2
  1. 13.   The Poisson probability distribution is a
  2. a.   continuous probability distribution
  3. b.   discrete probability distribution
  4. c.   uniform probability distribution
  5. d.   normal probability distribution
  1. 14.   The binomial probability distribution is used with
  2. a.   a continuous random variable
  3. b.   a discrete random variable
  4. c.   any distribution, as long as it is not normal
  5. d.   None of these alternatives is correct.
  1. 15.   Assume that you have a binomial experiment with p = 0.3 and a sample size of 100. The value of the variance is
  2. a.   30

b. 33.33

c. 100

d. 210

  1. 16.   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. 100

d. 50

  1. 17.   The standard deviation of a binomial distribution is a. ?(x) = P(1 - P)
    • b.   ?(x) = nP
    • c.   ?(x) = nP(1 - P)
    • d.   None of these alternatives is correct.
  1. 18.   The variance for the binomial probability distribution is
  2. a.   var(x) = P(1 - P)
  3. b.   var(x) = nP
  4. c.   var(x) = n(1 - P)
  5. d.   var(x) = nP(1 - P)
  1. 19.   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

  1. 20.   When dealing with the number of occurrences of an event over a specified interval of time or space, the appropriate probability distribution is a
  2. a.   binomial distribution
  3. b.   Poisson distribution
  4. c.   normal distribution
  5. d.   hypergeometric probability distribution
  1. 21.   Assume that you have a binomial experiment with p = 0.5 and a sample size of 100. The value of the standard deviation is
  2. a.   50
  3. b.   2
  4. c.   25
  5. d.   5
  1. 22.   Assume that you have a binomial experiment with p = 0.4 and a sample size of 50. The variance of this distribution is
  2. a.   20
  3. b.   12
  4. c.   3.46
  5. d.   144
  6. 23.   In a binomial experiment the probability of success is 0.06. What is the probability of two successes in seven trials?

   a. 0.0036

b. 0.0600

c. 0.0555

d. 0.2800

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