Normal distributions generally look like this. Although their
width and center can change based on the
distribution's parameters. There are two parameters associated with
a normal distribution. The mean, mu. And the standard
deviation, sigma. These two parameters plug in to
the following probability density function, which describes a
Gaussian distribution. The expected value of a variable
described by a Gaussian distribution is the mean, mu.
and the variance is the standard deviation, sigma
squared. Normal distributions are also symmetric about their
mean. If you've taken an introduction to stats
course, the normal distribution should be a familiar tool.
正規分布を表した図はこれです
幅や中心はパラメータによって変化します
関連するパラメータは2つあって
平均値μと標準偏差σです
この2つが確率密度関数に組み込まれ
ガウス分布を形成します
変数の期待値を表わすのが平均値μ
分散を表わすのが標準偏差のσ²です
平均値に対して左右対称のこの図は
統計学コースの受講者にはお馴染みのものでしょう