Question

Statistics question help please

Answer 1

Chi-square tests are nonparametric tests that examine nominal categories as opposed to numerical values. Consider a situation in which you may want to transform numerical scores into categories. Provide a specific example of a situation in which categories are more informative than the actual values.

Take an example of a hypothesis from a parametric test that you worked on earlier in this course, such as an analysis of variance (ANOVA) or a t-test. Explain what changes would be required so that you could analyze the hypothesis using a chi-square test. For instance, rather than looking at test scores as a range from 0 to 100, you could change the variable to low, medium, or high. What advantages and disadvantages do you see in using this approach? Which is the better option for this hypothesis—parametric approach or nonparametric approach?