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IEE380 All T/F Questions From Wiley Questions and Correct Answers/ Latest Update / Already Graded

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The sample space of a random experiment contains all of the possible outcomes. Ans: True An event is a subset of the sample space of a random experiment. Ans: True If a sample space consists of N possible outcomes that are equally likely, the probability of each outcome is 1/N. Ans: True For a discrete sample space, the probability of an event is the sum of all of the probabilities of the outcomes associated with the event. Ans: True Random variables can be either discrete or continuous. Ans: True All rights reserved © 2025/ 2026 | Page | 2 The probability mass function of a discrete random variable is a description of the probabilities associated with each possible value of the random variable. Ans: True The sum of all of the probabilities in a probability mass function equals unity. Ans: True If the variances of two discrete random variables are equal, then the means are equal. Ans: False The mean of a discrete random variable is its expected value. Ans: True The standard deviation of a discrete random variable is the square of its variance. Ans: False All rights reserved © 2025/ 2026 | Page | 3 A discrete uniform random variable has equal probability assigned to each of its possible values.

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Uploaded on
December 5, 2025
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IEE380 All T/F Questions From Wiley
Questions and Correct Answers/ Latest
Update / Already Graded
The sample space of a random experiment contains all of the possible
outcomes.

Ans: True


An event is a subset of the sample space of a random experiment.

Ans: True


If a sample space consists of N possible outcomes that are equally
likely, the probability of each outcome is 1/N.

Ans: True


For a discrete sample space, the probability of an event is the sum of all
of the probabilities of the outcomes associated with the event.

Ans: True


Random variables can be either discrete or continuous.

Ans: True


All rights reserved © 2025/ 2026 |

, Page |2



The probability mass function of a discrete random variable is a
description of the probabilities associated with each possible value of
the random variable.

Ans: True


The sum of all of the probabilities in a probability mass function equals
unity.

Ans: True


If the variances of two discrete random variables are equal, then the
means are equal.

Ans: False


The mean of a discrete random variable is its expected value.

Ans: True


The standard deviation of a discrete random variable is the square of
its variance.

Ans: False



All rights reserved © 2025/ 2026 |

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