Exam (elaborations)
MSIS 3223 - Exam 2 (Chapters 5-9)
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MSIS 3223 - Exam 2 (Chapters 5-9)
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MSIS 3223 - Exam 2 (Chapters5-9)
T/F: Probability is the likelihood that an outcome occurs. - -True.
- T/F: The union of two events contains all outcomes that belong to either
the two events. - -True.
- T/F: 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. - -
True.
- T/F: A probability distribution is the characterization of the possible values
that a random variable may assume along with the probability of assuming
these values. - -True.
- T/F: A random variable is a numerical description of the outcome of an
experiment. - -True.
- T/F: The expected value of a random variable corresponds to the notion of
the median for a sample. - -False.
- T/F: 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. - -True.
- T/F: The triangular distribution is defined by the three parameters: the
mean, median, and mode. - -False.
- T/F: Higher variance implies low uncertainty. - -False.
- T/F: In Normal Distributions, Mean = Median = Mode - -True.
- T/F: Excel's Trendline feature cannot be used in modeling trends which
include time variables. - -False.
- T/F: The standard error may be assumed to be large if the data are
clustered close to the regression line. - -False.
- T/F: A good regression model has the fewest number of explanatory
variables providing an adequate interpretation of the dependent variable. - -
True.
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