Question
the majority of this course we have dealt with continuous data that are normally distributed. What about data that are not continuous and/or not normally
the majority of this course we have dealt with continuous data that are normally distributed. What about data that are not continuous and/or not normally distributed? How would we test for differences or analyze relationships in this case? Describe, through an example, a variable that is not continuous in nature. Next, describe a nonparametric test other than chi-square and what it is used for. In your responses to your classmates, think of a real-world example that would use the test they describe.
Some variables to consider:
- Ratings on surveys, such as very dissatisfied, dissatisfied, indifferent, satisfied, very satisfied
- Color
- Brand of product, part, machine,...
- and so on...
The word nature is NOT referring to the environment, but that is still in play. Type might have been a better word choice.
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