Critical Value Chi Square Distribution Chart. This means we do not have sufficient evidence to state that there is an association between gender and political party preference. If the chi square statistic that we calculate from our data is greater than or equal to19 675 then we reject the null hypothesis at 5 significance.
Critical values are points at the tail s of a certain distribution so that the area under the curve for those points to the tails is equal to the given value of. This means we do not have sufficient evidence to state that there is an association between gender and political party preference. Thus according to the chi square distribution table the critical value of the test is 5 991.
If the chi square statistic that we calculate from our data is greater than or equal to19 675 then we reject the null hypothesis at 5 significance.
For a two tailed case the critical values correspond to two points on the left and right tailes of the distribution with the property that the sum of the area under the curve for the left tail from the left critical point. Thus according to the chi square distribution table the critical value of the test is 5 991. For a two tailed case the critical values correspond to two points on the left and right tailes of the distribution with the property that the sum of the area under the curve for the left tail from the left critical point. So the left of our critical value should be 1 0 05 0 95.
