Degree Freedom Chi Square Distribution Chart. Chi square 105 36 25 14 30 2 50 55 39 66 chi square 3 418. Then move to the top and find the probability.
In probability theory and statistics the chi square distribution also chi squared or χ 2 distribution with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables. If the test statistic is greater than the upper tail critical value or less than the lower tail critical value we reject the null hypothesis. For example if your df is 7 and chi square is 21 01 then your probability will be written as p0 005.
Values of the chi squared distribution.
In probability theory and statistics the chi square distribution also chi squared or χ 2 distribution with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables. At this point you will need to know how many degrees of freedom you have. 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. Df 0 995 0 975 0 20 0 10 0 05 0 025 0 02 0 01 0 005 0 002 0 001.
