IEE 380 Exam 2 Question and answers
100% correct 2025/2026
The sample mean is analogous to the center of mass in mechanics. - correct answer ✔True
The units associated with the sample standard deviation are the squared measurement units of the
original sample. - correct answer ✔False
If the sample variance is calculated from a sample of n observations, then it has n - 1 degrees of
freedom. - correct answer ✔True
The median of a sample is the most frequently occurring value in the sample. - correct answer ✔False
Discrete random variables take on values across a continuum. - correct answer ✔False
The binomial distribution arises from a series of Bernoulli trials. - correct answer ✔True
The Poisson distribution is widely used as a model of the number of events in an interval. - correct
answer ✔True
The probability mass function of a discrete random variable is a description of the probabilities
associated with each possible value of the random variable. - correct answer ✔True
The sum of all of the probabilities in a probability mass function equals unity. - correct answer ✔True
The cumulative distribution function, F(x), of a discrete random variable is the sum of all of the
probabilities that are less than or equal to x, where x is a specific value of the discrete random variable,
X. - correct answer ✔True
100% correct 2025/2026
The sample mean is analogous to the center of mass in mechanics. - correct answer ✔True
The units associated with the sample standard deviation are the squared measurement units of the
original sample. - correct answer ✔False
If the sample variance is calculated from a sample of n observations, then it has n - 1 degrees of
freedom. - correct answer ✔True
The median of a sample is the most frequently occurring value in the sample. - correct answer ✔False
Discrete random variables take on values across a continuum. - correct answer ✔False
The binomial distribution arises from a series of Bernoulli trials. - correct answer ✔True
The Poisson distribution is widely used as a model of the number of events in an interval. - correct
answer ✔True
The probability mass function of a discrete random variable is a description of the probabilities
associated with each possible value of the random variable. - correct answer ✔True
The sum of all of the probabilities in a probability mass function equals unity. - correct answer ✔True
The cumulative distribution function, F(x), of a discrete random variable is the sum of all of the
probabilities that are less than or equal to x, where x is a specific value of the discrete random variable,
X. - correct answer ✔True
