The Chi Square test gives a value for X2 that can be converted to
Chi Square (c2), in the table below. This
can then be used to determine whether there is a significant difference from the null hypothesis
or whether the the results support the null hypothesis.
Select the column with probability that you want.
eg. 0.05 means '95% chance'
Select the row for degrees of freedom.
This is usually n-1, where n is the number of items in the group. For a
table, it is (R-1)(C-1), where R and C are the numbers of rows and columns
Compare the chi-squared value in the cell with your calculated X2 value.
If the X2 value is greater than the 0.05, 0.01 or 0.001
column, then the goodness-of-fit null hypothesis can be rejected.
If the X2 value is less than or equal to the 0.99 or
0.95 column, then the independence null hypothesis can be rejected.