As Sullivan discusses in the readings for this unit, a chi-square is a non-parametric technique.

As Sullivan discusses in the readings for this unit, a chi-square is a non-parametric technique. Describe the differences between parametric techniques (such as ANOVA and t-test) and the non-parametric technique used in chi-squares. Using your workplace, or a public health entity with which you are familiar, identify and describe data you could use to do chi-square analysis.

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For this discussion, be prepared to respond to the feedback you receive from your peers. You will be expected to post at least one reply to the reader response you receive on this original post.

One of the realities of biostatistics is that the best specific test or analysis to use is not always obvious:

• ANOVA versus t-test?
• Parametric versus non-parametric test?
• Chi-square versus probability analysis?

Consider your workplace, or other public health situations you are familiar with, and identify a situation where it might it be appropriate to use a probability assessment over a chi-square analysis. Describe the situation and explain why you think the probability assessment is the better approach.