Chi Square Vs T Test Example. It is used to determine whether sample data are consistent with a hypothesized distribution. Both sets of data must come from the same sample size for the results to be valid.
Both sets of data must come from the same sample size for the results to be valid. T test for a difference in means. This discussion will help you work towards your week 3 assignment 2.
This discussion will help you work towards your week 3 assignment 2.
One of the more confusing things when beginning to study stats is the variety of available test statistics. This discussion will help you work towards your week 3 assignment 2. For a chi squared test the two sets of data must first be divided into categories. When you reject the null hypothesis of a chi square test for independence it means there is a significant association between the two variables.
