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MSIS 3223 Exam 2 (Ch. 5, 8, 9) $8.49   Add to cart

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MSIS 3223 Exam 2 (Ch. 5, 8, 9)

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MSIS 3223 Exam 2 (Ch. 5, 8, 9)

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  • November 1, 2024
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • MSIS 3223
  • MSIS 3223
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Nursephil2023
MSIS 3223 Exam 2 (Ch. 5, 8, 9)
it measures the uncertainty of a random variable. - -Which of the following is
true about variance?

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

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

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

- noted 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. - -Before launching a new line of toys, Toys
Inc. used the method of historical analogy to obtain a forecast. In this
scenario, Toys Inc.:

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

- relative frequency - -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.

- subjective - -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?

- Random variable - -A _____ is a numerical description of the outcome of an
experiment. They can be continuous or discrete.

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

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

, - expected value - -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.

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

- variance - -_____ 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.

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

- Binomial 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.

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

- mean and the standard deviation - -Normal distribution is characterized by
two parameters: the _____ and the _____.

- Zero - -Normal distribution is symmetric, so its measure of skewness is
_____.

- mean, median, mode - -In normal distribution, the _____, _____, & _____ are
all equal. Thus, half the area falls above the mean and half falls below it.

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

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

- probability density functions - -The distribution that characterizes
outcomes of a continuous random variable.

- x - -Probability Density Functions:
A graph of the density function must lie at or above the _____-axis.

- 1 - -Probability Density Functions:

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