Critical Value Chi Square Test Table. For upper one sided tests the test statistic is compared with a value from the table of upper critical values. Df α 0 995 0 99 0 975 0 95 0 90 0 10 0 05 0 025 0 01 0 005.
Df p 0 05 p 0 01 p 0 001 df p 0 05 p 0 01 p 0 001 1 3 84 6 64 10 83 53 70 99 79 84 90 57 2 5 99 9 21 13 82 54 72 15 81 07 91 88 3 7 82 11 35 16 27 55 73 31 82 29 93 17 4 9 49 13 28 18 47 56 74 47 83 52 94 47 5 11 07 15 09 20 52 57 75 62 84 73 95 75 6 12 59 16 81 22 46 58 76 78 85 95 97 03. The degrees of freedom is equal to rows 1 columns 1 2 1 3 1 2 and the problem told us that we are to use a 0 05 alpha level. A test statistic with degrees of freedom is computed from the data.
For hypothesis tests a critical value tells us the boundary of how extreme a test statistic we need to reject the null hypothesis.
Thus according to the chi square distribution table the critical value of the test is 5 991. Values of the chi squared distribution. A test statistic with ν degrees of freedom is computed from the data. The distribution table shows the critical values for chi squared probailities.
