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Give an example of a quantitative variable that does not have a Normal distribution. Justify your answer.

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1. Days between Invoice Mailing and Receipt of Payment2.  Distribution of Zinc-Plating Thickness
User Sansan
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Answer:

Ten car accidents on the road.

Explanation:

Discrete Dependent Variables varying from 0 to 20, fit better in a Poisson Distribution. Quantitative Discrete Variables are better designed to distributions like Poisson.

Not all distributions will fit on Normal Distribution (Bell Shaped) that will depend on the dependent variable result. There are many other Distributions, to look for in case our data does not fit on a Bell Shaped one.

User Roger Wolf
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