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In a multivariate normal distribution, a correlation tells the:

A)
strength of the linear relationship between two of the variables.
B)
relationship between the means and variances of the variables.
C)
overall relationship between all the variables.


This is true by definition. The correlation only applies to two variables at a time.

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A multivariate distribution is best defined as describing the behavior of:

A)
two or more independent random variables.
B)
a random variable with more than two possible outcomes.
C)
two or more dependent random variables.


A multivariate distribution describes the relationships between two or more random variables, when the behavior of each random variable is dependent on the others in some way.


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A multivariate distribution:

A)
specifies the probabilities associated with groups of random variables.
B)
applies only to binomial distributions.
C)
gives multiple probabilities for the same outcome.


This is the definition of a multivariate distribution.

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Which of the following would least likely be categorized as a multivariate distribution?

A)
The days a stock traded and the days it did not trade.
B)
The return of a stock and the return of the DJIA.
C)
The returns of the stocks in the DJIA.


The number of days a stock traded and did not trade describes only one random variable. Both of the other cases involve two or more random variables.

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