If the chi squared value is greater than the critical value, the null hypothesis is rejected, meaning the difference between observed and expected results is not due to chance
The chi squared test is a statistical test which can be used to establish whether the difference between observed and expected results is small enough to occur purely due to chance
The chi squared test can determine whether the null hypothesis is correct or not, where the null hypothesis assumes no difference between observed and expected results