- Chi-squared Distribution
It is the distribution of a sum of the squares of independent standard normal random variables.
1) "m" random variables are extracted "independent" from a set of random variables that follow a standard normal distribution.
- extracted "independent" : The act of extracting one random variable does not affect the act of extracting the next one. Such as when extracting lottery numbers.
2) Define X2
3) Get the Chi-squared Distribution
- χ2(m) : Chi-squared Distribution
- μ : Mean
- σ : Standard Deviation
4) Chi-squared Distribution
The smaller the degree of freedom, the more inclined it is to the left,
the more data it has, the more it changes to the normal distribution.
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