MSIS 3223 EXAM 2 UPDATED ACTUAL
QUESTIONS AND CORRECT ANSWERS
COMPLETE STUDY GUIDE
●● Which of the following is true of normal distributions?
Answer: The mean, median, and mode are all equal.
●● Probability is the likelihood that an outcome occurs.
Answer: True
●● The union of two events contains all outcomes that belong to either
of the two events.
Answer: True
●● Conditional probability is the probability of occurrence of one event
'A' given that another event 'B' is known to be true or has already
occurred.
Answer: True
●● A probability distribution is the characterization of the possible
values that a random variable may assume along with the probability of
assuming these values.
Answer: True
, ●● A random variable is a numerical description of the outcome of an
experiment.
Answer: True
●● The expected value of a random variable corresponds to the notion of
the median for a sample.
Answer: False
●● The normal distribution is a continuous distribution that is described
by the familiar bell-shaped curve and is perhaps the most important
distribution used in statistics.
Answer: True
●● The triangular distribution is defined by three parameters: the mean,
median, and mode.
Answer: False
●● Higher variance implies low uncertainty.
Answer: False
●● Variance calculates the probability of a random variable lying within
a certain interval.
Answer: True
QUESTIONS AND CORRECT ANSWERS
COMPLETE STUDY GUIDE
●● Which of the following is true of normal distributions?
Answer: The mean, median, and mode are all equal.
●● Probability is the likelihood that an outcome occurs.
Answer: True
●● The union of two events contains all outcomes that belong to either
of the two events.
Answer: True
●● Conditional probability is the probability of occurrence of one event
'A' given that another event 'B' is known to be true or has already
occurred.
Answer: True
●● A probability distribution is the characterization of the possible
values that a random variable may assume along with the probability of
assuming these values.
Answer: True
, ●● A random variable is a numerical description of the outcome of an
experiment.
Answer: True
●● The expected value of a random variable corresponds to the notion of
the median for a sample.
Answer: False
●● The normal distribution is a continuous distribution that is described
by the familiar bell-shaped curve and is perhaps the most important
distribution used in statistics.
Answer: True
●● The triangular distribution is defined by three parameters: the mean,
median, and mode.
Answer: False
●● Higher variance implies low uncertainty.
Answer: False
●● Variance calculates the probability of a random variable lying within
a certain interval.
Answer: True