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MSIS 3223 Exam 2 (Ch. 5, 8, 9) 100% ACCURATE!

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Which of the following is true about variance? - ANSWERSit measures the uncertainty of a random variable. A probability density function: - ANSWERScharacterizes outcomes of a continuous random variable. Regression models of ________ data focus on predicting the future. - ANSWERStime-series ...

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  • November 5, 2024
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  • MSIS 3223
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MSIS 3223 Exam 2 (Ch. 5, 8, 9) 100%
ACCURATE!

Which of the following is true about variance? - ANSWERSit measures the uncertainty of a random
variable.



A probability density function: - ANSWERScharacterizes outcomes of a continuous random variable.



Regression models of ________ data focus on predicting the future. - ANSWERStime-series



The Delphi method used for forecasting: - ANSWERSuses a panel of experts, whose identities are
typically kept confidential from one another, to respond to a sequence of questionnaires.



Before launching a new line of toys, Toys Inc. used the method of historical analogy to obtain a forecast.
In this scenario, Toys Inc.: - ANSWERSnoted the consumer response to similar previous products to
marketing campaigns and used the responses as a basis to predict how the new marketing campaign
might fare.



If the process that generates the outcome is known, probabilities can be deduced from theoretical
arguments; this is the _____ definition of probability. - ANSWERSclassical



The _____ definition of probability is based on empirical data. The probability that an outcome will occur
is simply the relative frequency associated with that outcome. - ANSWERSrelative frequency



The _____ definition of probability is based on judgment and experience as sports experts might predict
at the start of the football season—what is the probability of a specific team winning the national
championship? - ANSWERSsubjective



A _____ is a numerical description of the outcome of an

experiment. They can be continuous or discrete. - ANSWERSRandom variable

, A _____ is a random variable for which the number of possible outcomes can be counted. -
ANSWERSdiscrete random variable



A _____ is a random variable that has outcomes over one or more continuous intervals or real numbers.
- ANSWERScontinuous random variable



The _____ of a random variable corresponds to the notion of the mean, or average for a sample. It can
be helpful in making a variety of decisions. - ANSWERSexpected value



The variance of a discrete random variable may be computed as a _____ from the expected value. A
common measure of dispersion. - ANSWERSweighted average of the squared deviations



_____ is the average of the squared deviations of the observations from the mean, a common measure
of dispersion. It measures the uncertainty of the random variable; the higher it is, the higher the
uncertainty of the outcome. - ANSWERSvariance



The probability distribution of a random variable with two possible outcomes, each with a constant
probability of occurrence is referred to as _____. - ANSWERSBernoulli Distribution



The _____ models n independent replications of a Bernoulli experiment, each with a probability p of
success. The _____ can assume different shapes and amounts of skewness, depending on the
parameters. - ANSWERSBinomial Distribution



Perhaps the most important distribution used in statistics, _____ is a continuous distribution by the
familiar bell shaped curve. - ANSWERSnormal distribution



In normal distribution, the range of X is _____, meaning that the tails of the distribution extend to
negative & positive infinity. - ANSWERSunbounded



In normal distribution, the _____ apply exactly for it. - ANSWERSempirical rules

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