How to find standard deviation of continuous uniform distribution?
Answers
The uniform distribution is used to describe
a situation where all possible outcomes of
a random experiment are equally likely to
occur. You can use the variance and
standard deviation to measure the
“spread” among the possible values of the
probability distribution of a random
variable.
For example, suppose that an art gallery
sells two types of art work: inexpensive
prints and original paintings. The length of
time that the prints remain in inventory is
uniformly distributed over the interval (0,
40). For example, some prints are sold
immediately; no print remains in inventory
for more than 40 days. For the paintings,
the length of time in inventory is uniformly
distributed over the interval (5, 105). For
example, each painting requires at least 5
days to be sold and may take up to 105
days to be sold.
The variance and the standard deviation
measure the degree of dispersion (spread)
among the values of a probability
distribution. In the art gallery example, the
inventory times of the prints are much
closer to each other than for the paintings.
As a result, the variance and standard
deviation are much lower for the prints
because the range of possible values is
much smaller.