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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