1
MGT 181 - Chapters 2, 3, and 6 Questions with
Correct Answers | Updated (100% Correct
Answers)
Subjective probability implies that we can measure the relative
frequency of the values of the random variable. Answer: FALSE
Mutually exclusive events exist if only one of the events can occur
on any one trial. Answer: TRUE
Stating that two events are statistically independent means that the
probability of one event occurring is independent of the probability
of the other event having occurred. Answer: TRUE
Saying that a set of events is collectively exhaustive implies that one
of the events must occur. Answer: TRUE
If two events are mutually exclusive, the probability of both events
occurring is simply the sum of the individual probabilities. Answer:
TRUE
Given two statistically dependent events (A, B), the conditional
probability of P(A/B) = P(B)/P(AB). Answer: FALSE
Given two statistically independent events (A, B), the joint
probability of P(AB) = P(A) + P(B). Answer: FALSE
© 2025 All rights reserved
,2
Given two statistically independent events (A, B), the conditional
probability P(A/B) = P(A). Answer: TRUE
Assume that you have a box containing five balls: two red and three
white. You draw a ball two times, each time replacing the ball just
drawn before drawing the next. The probability of drawing only one
white ball is 0.20. Answer: FALSE
Suppose that you enter a drawing by obtaining one of 20 tickets
that have been distributed. By using the, you can determine that the
probability of your winning the classical method drawing is 0.05.
Answer: TRUE
If we roll a single die twice, the probability that the sum of the dots
showing on the two rolls equals four (4), is 1/6. Answer: FALSE
Consider a standard 52-card deck of cards. The probability of
drawing either a seven or a black card is 7/13. Answer: TRUE
The joint probability of two or more independent events occurring
is the sum of their marginal or simple probabilities. Answer: FALSE
The expected value of a binomial distribution is expressed as np,
where n equals the number of trials and equals the probability of
success of any individual trial. Answer: TRUE
The standard deviation equals the square of the variance. Answer:
FALSE
© 2025 All rights reserved
, 3
The probability of obtaining specific outcomes in a Bernoulli process
is described by the binomial probability distribution. Answer: TRUE
The variance of a binomial distribution is expressed as np/(1-p),
where n equals the number of trials and p equals the probability of
success of any individual trial. Answer: FALSE
In a normal distribution, the value represents the number of
standard deviations from a Z value to the mean. Answer: TRUE
Assume you have a normal distribution representing the likelihood
of completion times. The mean of this distribution is 10, and the
standard deviation is 3. The probability of completing the project in
8 or fewer days is the same as the probability of completing the
project in 18 days or more. Answer: FALSE
Assume you have a normal distribution representing the likelihood
of completion times. The mean of this distribution is 10, and the
standard deviation is 3. The probability of completing the project in
7 or fewer days is the same as the probability of completing the
project in 13 days or more. Answer: TRUE
Subjective probability assessments depend on
A) the total number of trials.
B) the relative frequency of occurrence.
© 2025 All rights reserved
MGT 181 - Chapters 2, 3, and 6 Questions with
Correct Answers | Updated (100% Correct
Answers)
Subjective probability implies that we can measure the relative
frequency of the values of the random variable. Answer: FALSE
Mutually exclusive events exist if only one of the events can occur
on any one trial. Answer: TRUE
Stating that two events are statistically independent means that the
probability of one event occurring is independent of the probability
of the other event having occurred. Answer: TRUE
Saying that a set of events is collectively exhaustive implies that one
of the events must occur. Answer: TRUE
If two events are mutually exclusive, the probability of both events
occurring is simply the sum of the individual probabilities. Answer:
TRUE
Given two statistically dependent events (A, B), the conditional
probability of P(A/B) = P(B)/P(AB). Answer: FALSE
Given two statistically independent events (A, B), the joint
probability of P(AB) = P(A) + P(B). Answer: FALSE
© 2025 All rights reserved
,2
Given two statistically independent events (A, B), the conditional
probability P(A/B) = P(A). Answer: TRUE
Assume that you have a box containing five balls: two red and three
white. You draw a ball two times, each time replacing the ball just
drawn before drawing the next. The probability of drawing only one
white ball is 0.20. Answer: FALSE
Suppose that you enter a drawing by obtaining one of 20 tickets
that have been distributed. By using the, you can determine that the
probability of your winning the classical method drawing is 0.05.
Answer: TRUE
If we roll a single die twice, the probability that the sum of the dots
showing on the two rolls equals four (4), is 1/6. Answer: FALSE
Consider a standard 52-card deck of cards. The probability of
drawing either a seven or a black card is 7/13. Answer: TRUE
The joint probability of two or more independent events occurring
is the sum of their marginal or simple probabilities. Answer: FALSE
The expected value of a binomial distribution is expressed as np,
where n equals the number of trials and equals the probability of
success of any individual trial. Answer: TRUE
The standard deviation equals the square of the variance. Answer:
FALSE
© 2025 All rights reserved
, 3
The probability of obtaining specific outcomes in a Bernoulli process
is described by the binomial probability distribution. Answer: TRUE
The variance of a binomial distribution is expressed as np/(1-p),
where n equals the number of trials and p equals the probability of
success of any individual trial. Answer: FALSE
In a normal distribution, the value represents the number of
standard deviations from a Z value to the mean. Answer: TRUE
Assume you have a normal distribution representing the likelihood
of completion times. The mean of this distribution is 10, and the
standard deviation is 3. The probability of completing the project in
8 or fewer days is the same as the probability of completing the
project in 18 days or more. Answer: FALSE
Assume you have a normal distribution representing the likelihood
of completion times. The mean of this distribution is 10, and the
standard deviation is 3. The probability of completing the project in
7 or fewer days is the same as the probability of completing the
project in 13 days or more. Answer: TRUE
Subjective probability assessments depend on
A) the total number of trials.
B) the relative frequency of occurrence.
© 2025 All rights reserved
