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# 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 ...

##### Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

##### Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

##### Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.