MSIS 3223 Test 2 Questions with Verified
Correct Answers
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
b. panel
Correct Answers
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
b. panel
