21
Mar
Chi Square Degrees Of Freedom Chart. But as you can see the table is pretty limited in that direction. The more categories you have in your study the more degrees of freedom you have. Enter the tables with the argument u or c as the observed positive value of the test statistic and with degrees of freedom. The degrees of freedom is used to refer the χ 2 -table values for the specified level of significance such as 1 2 3 5 10 etc.
Take the number of rows minus one and multiply that number by the number of columns minus one. To use the Chi-square distribution table you only need two values. For 2 degrees of freedom if is the value of the chi-square statistic then is the -value. In the chart. A significance level common choices are 001 005 and 010 Degrees of freedom. A Work out how many degrees of freedom df you have.
Thus according to the Chi-Square distribution table the critical value of the test is 5991.
Next we can find the critical value for the test in the Chi-Square distribution table. 995 99 975 95 9 1 05 025 01 1 000 000 000 000 002 271 384 502 663 2 001 002 005 010 021 461 599 738 921 3 007 011 022 035 058 625 781 935 1134 4 021 030 048 071 106 778 949 1114 1328 5 041 055 083 115 161 924 1107 1283 1509. 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 005 alpha level. 1 The Chi-square value. To find probability for given degrees of freedom read across the below row until you find the next smallest number. The 5 critical value for a chi2_5 is 110705.