Chi square test

The chi square test tells us whether or not the deviation of a (partial) target group result from the overall target group's result is significant.

As common in social research, M-Cloud utilises an underlying confidence level of 95%.

The tests offers the assurance that differences in results between a partial target group and the overall target group are in fact within the specified tolerance zone and are not simply random.

 

Partial target group results are highlighted in colour where these differ significantly from the results of the overall target group and their deviation lies within the permitted range of fluctuation.

 

For women, 43.9% attended secondary school without a school leaving certificate. The figure is 34.2% for the overall target group.

With a confidence level of 95%, the error threshold, according to the table, for the range of fluctuation for the target group "Women" is approx. 2.8%.

At 43.9%, the deviation of the "Women" target group from the overall target group is definitely significant, since it lies outside the spread of possible sampling errors (34.2% - 43.9 % = -9.7%, thus greater than 2.8%).