Chi Square Distribution Curve. Such application tests are almost always right tailed tests. Properties of chi square distribution.
When ν is small the shape of the curve tends to be skewed to the right and as the ν gets larger the shape becomes more symmetrical and can be approximated by. The shape of the chi square distribution depends on the number of degrees of freedom ν. The chi square distribution is a continuous probability distribution with the values ranging from 0 to infinity in the positive direction.
The chi square distribution is a special case of the gamma distribution and is one of the most widely used probability distributions in inferential statistics notably in hypothesis testing and in construction of confidence intervals.
The ch square test is a mathematical procedure used to test whether or not two factors are independent or dependent. The chi square distribution is a family of distributions. Such application tests are almost always right tailed tests. Chi square distribution calculates a table of the probability density function or lower or upper cumulative distribution function of the chi square distribution and draws the chart.
