Statistics using R programming - Chi-Square Distribution and Chi-Square Test in R . #statistics

Statistics using R programming - Chi-Square Distribution and Chi-Square Test in R .

A chi-square distribution is a continuous distribution with degrees of freedom. It is used to describe the distribution of a sum of squared random variables. It is also used to test the goodness of fit of a distribution of data, whether data series are independent, and for estimating confidences surrounding variance and standard deviation for a random variable from a normal distribution.

In regression: SSR/σ2 has a chi-square distribution with n −2 degrees of freedom
Independent test of two categorical variables, test statistics follows a a chi-square distribution with (r-1)(c-1) degrees of freedom

In R programming, probability functions take the form [dpqr]distribution_abbreviation()
Where
d = Density or probability
p = Cumulative Distribution function
q = Quantile function
r = Random number generation

dchisq
pchisq
qchisq
rchisq

#statistics
#rprogramming
#probability
#rstudio
#chisquare
#chisquaretest
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