MSIS 3223 EXAM QUESTIONS WITH CORRECT ANSWERS
LATEST UPDATE
Which of the following is true of normal distributions?
The Mean, median and mode are all equal
Probability is the likelihood that an outcome occurs.T/F
True
The union of two events contains all outcomes that belong to either of the two
events. T/F
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. T/F
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. T/F
True
A random variable is a numerical description of the outcome of an experiment.
T/F
True
The expected value of a random variable corresponds to the notion of the median
for a sample. T/F
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. T/F
True
The triangular distribution is defined by three parameters: the mean, median, and
mode. T/F
False
Higher variance implies low uncertainty. T/F
False
Variance calculates the probability of a random variable lying within a certain
interval. T/F
True
True or False
Regression analysis is a tool for building mathematical and statistical models
that characterize relationships between a dependent (ratio) variable and one or
more independent, or explanatory variables (ratio or categorical), all of which are
numerical. T/F
True
Regression models of ____ data focus on predicting the future.
a. time-series
LATEST UPDATE
Which of the following is true of normal distributions?
The Mean, median and mode are all equal
Probability is the likelihood that an outcome occurs.T/F
True
The union of two events contains all outcomes that belong to either of the two
events. T/F
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. T/F
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. T/F
True
A random variable is a numerical description of the outcome of an experiment.
T/F
True
The expected value of a random variable corresponds to the notion of the median
for a sample. T/F
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. T/F
True
The triangular distribution is defined by three parameters: the mean, median, and
mode. T/F
False
Higher variance implies low uncertainty. T/F
False
Variance calculates the probability of a random variable lying within a certain
interval. T/F
True
True or False
Regression analysis is a tool for building mathematical and statistical models
that characterize relationships between a dependent (ratio) variable and one or
more independent, or explanatory variables (ratio or categorical), all of which are
numerical. T/F
True
Regression models of ____ data focus on predicting the future.
a. time-series
