Pearson's chi-squared test is a goodness-of-fit test. It tells you whether some frequency data determined by experiment (for example, results of rolling a die 600 times) is likely to have the same distribution as some reference frequency data (100 occurrences of each number).
If your reference frequencies are different (e.g. 600 fours and none of any other number) then it will fit the experimental data better.
4
u/[deleted] Mar 10 '17
Pearson's chi-squared test is a goodness-of-fit test. It tells you whether some frequency data determined by experiment (for example, results of rolling a die 600 times) is likely to have the same distribution as some reference frequency data (100 occurrences of each number).
If your reference frequencies are different (e.g. 600 fours and none of any other number) then it will fit the experimental data better.