Chi Square Distribution Table Calculator. This is also called a goodness of fit statistic since it measures how well the observed data actually fits with the distribution that you expect to see if the variables are independent. See a table of selected percentiles of the chi square distribution computed using the javascript calculation engine behind this page.
The chi square test should be run when you want to test how likely it is that an observed distribution is motivated by chance. The chi square distribution is one of the crucial continuous distributions in statistics. To find probability for given degrees of freedom read across the below row until you find the next smallest number.
χ 2 chiinv p ν.
Related calculator alpha area to the right of critical value df 0 1 0 05 0 025 0 01 0 005 0 001 1 2 7055 3 8415 5 0239 6 6349 7 8794 10 8276 2 4 6052 5 9915 7 3778 9 2103 10 5966 13 8155 3 6 2514 7 8147 9 3484 11 3449 12 8382 16 2662 4 7 7794 9 4877 11 1433 13 2767 14 8603 read more. This is also called a goodness of fit statistic since it measures how well the observed data actually fits with the distribution that you expect to see if the variables are independent. If you need to derive a chi square score from raw data you should use our chi square calculator which will additionally calculate the p value for you. Assuming that we have an alpha level of significance equal to 0 05 it is time to use the chi square distribution table.
