# Normally and Non-Normally Distributed Population

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The majority of the data is normally distributed if there are enough subjects. For instance, if you collected test scores of only a few honor students, the data will most likely not be normally distributed because you would have a sample that did not represent the entire population. But the identical test scores (for honor students) collected from all schools in a state will result in a normal distribution.

Identify an example of a population that you would expect to be normally distributed. Explain why, according to you, it would be normally distributed. Then, describe a subset of the population you identified and explain why it would not be normally distributed and what would the distribution look like.

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This solution is comprised of a detailed explanation of Normally and Non-Normally Distributed Population. In this solution, step-by-step explanation of this complicated topic provides students with a clear perspective of Normally and Non-Normally Distributed Population.

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Normal distribution is the backbone of all statistical procedures. A large data indicates normal distribution most likely.

The best example of normally distributed data I can ...

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