Chi Square Test Statistic Value. Thus according to the chi square distribution table the critical value of the test is 5 991. This means we do not have sufficient evidence to state that there is an association between gender and political party preference.
This is why it is also known as the goodness of fit test. Chi square test statistic of 5 094. Since our test statistic is smaller than our critical value we fail to reject the null hypothesis.
Degrees of freedom equals the number of categories minus 1.
Pearson s chi squared test is used to determine whether there is a statistically significant difference between the expected frequencies and the observed frequencies in one or more categories of a contingency table. The chi square test is used to check how well the observed values for a given distribution fits with the distribution when the variables are independent. This means we do not have sufficient evidence to state that there is an association between gender and political party preference. A chi squared test also written as χ2 test is a statistical hypothesis test that is valid to perform when the test statistic is chi squared distributed under the null hypothesis specifically pearson s chi squared test and variants thereof.
