Match each continuous distribution, to the option that best
describes the distribution and/or when it’s applied:
-
A. B.
C. D.
|
Normal
|
-
A. B.
C. D.
|
Chi-squared
|
-
A. B.
C. D.
|
Uniform
|
-
A. B.
C. D.
|
Exponential
|
|
A. |
Plays an important role in queuing theory problems. Time between
arrivals at service facilities, or time to failure of a component
part, are often modeled nicely by this distribution.
|
B. |
The most important probability distribution in statistics.
Approximately describes many phenomena that occur in nature,
industry, and research.
|
C. |
Has a flat density function, so then the probability stays the
same for all values in an interval [A, B].
|
D. |
Distribution that plays an important role in hypothesis testing
and estimation. Has a single parameter, called the degrees of
freedom.
|
|