Business Statistics A
Decision Making
Approach 9th Edition
by David F. Groebner –
Test Bank
,Chapter 6 Introduction to Continuous Probability Distributions
1) The normal distribution is one of the most frequently used discrete probability
distributions.
Answer: FALSE
Diff: 1
Keywords: normal distribution
Section: 6-1 The Normal Probability Distribution
Outcome: 1
2) Typically, a continuous random variable is one whose value is determined by
measurement instead of counting.
Answer: TRUE
Diff: 1
Keywords: continuous, random, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 3
3) The number of defects manufactured by workers in a small engine plant is an
example of a discrete random variable.
Answer: TRUE
Diff: 1
Keywords: discrete, random, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 3
4) One example of a difference between discrete random variables and continuous
random variables is that in a discrete distribution P(x > 2) = P(x ≥ 3) while in a
continuous distribution P(x > 2) is treated the same as P(x ≥ 2).
,Answer: TRUE
Diff: 2
Keywords: discrete, continuous, random, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 3
5) The probability distribution for a continuous random variable is represented by a
probability density function that defines a curve.
Answer: TRUE
Diff: 1
Keywords: probability, density, continuous, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 2
6) When graphed, the probability distribution for a discrete random variable looks
like a histogram.
Answer: TRUE
Diff: 2
Keywords: discrete, variable, distribution
Section: 6-1 The Normal Probability Distribution
Outcome: 3
7) For a continuous distribution the total area under the curve is equal to 100.
Answer: FALSE
Diff: 1
Keywords: normal, distribution, continuous, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 3
, 8) A continuous random variable approaches normality as the level of skewness
increases.
Answer: FALSE
Diff: 2
Keywords: continuous, variable, random
Section: 6-1 The Normal Probability Distribution
Outcome: 3
9) If the mean, median and mode are all equal for a continuous random variable,
then the random variable is normally distributed.
Answer: FALSE
Decision Making
Approach 9th Edition
by David F. Groebner –
Test Bank
,Chapter 6 Introduction to Continuous Probability Distributions
1) The normal distribution is one of the most frequently used discrete probability
distributions.
Answer: FALSE
Diff: 1
Keywords: normal distribution
Section: 6-1 The Normal Probability Distribution
Outcome: 1
2) Typically, a continuous random variable is one whose value is determined by
measurement instead of counting.
Answer: TRUE
Diff: 1
Keywords: continuous, random, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 3
3) The number of defects manufactured by workers in a small engine plant is an
example of a discrete random variable.
Answer: TRUE
Diff: 1
Keywords: discrete, random, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 3
4) One example of a difference between discrete random variables and continuous
random variables is that in a discrete distribution P(x > 2) = P(x ≥ 3) while in a
continuous distribution P(x > 2) is treated the same as P(x ≥ 2).
,Answer: TRUE
Diff: 2
Keywords: discrete, continuous, random, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 3
5) The probability distribution for a continuous random variable is represented by a
probability density function that defines a curve.
Answer: TRUE
Diff: 1
Keywords: probability, density, continuous, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 2
6) When graphed, the probability distribution for a discrete random variable looks
like a histogram.
Answer: TRUE
Diff: 2
Keywords: discrete, variable, distribution
Section: 6-1 The Normal Probability Distribution
Outcome: 3
7) For a continuous distribution the total area under the curve is equal to 100.
Answer: FALSE
Diff: 1
Keywords: normal, distribution, continuous, variable
Section: 6-1 The Normal Probability Distribution
Outcome: 3
, 8) A continuous random variable approaches normality as the level of skewness
increases.
Answer: FALSE
Diff: 2
Keywords: continuous, variable, random
Section: 6-1 The Normal Probability Distribution
Outcome: 3
9) If the mean, median and mode are all equal for a continuous random variable,
then the random variable is normally distributed.
Answer: FALSE
