Normal distributions are a family of distributions that
have the shape shown below.
Normal distributions are symmetric with scores more concentrated in
the middle than in the tails. They are defined by two
(μ) and the
(σ). Many kinds of behavioral data are
approximated well by the normal distribution. Many
statistical tests assume a normal distribution. Most of
these tests work well even if the distribution is only
approximately normal and in many cases as long as it does
not deviate greatly from normality.
The formula for the height (y) of a normal distribution for a
given value of x is:
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