![Figure 10A. Histogram of population–uniform distribution: population = 10,000; mean = 5.03; standard deviation = 2.88 : A Simulation Showing the Role of Central Limit Theorem in Handling Non-Normal Distributions : Science and Education Publishing Figure 10A. Histogram of population–uniform distribution: population = 10,000; mean = 5.03; standard deviation = 2.88 : A Simulation Showing the Role of Central Limit Theorem in Handling Non-Normal Distributions : Science and Education Publishing](http://pubs.sciepub.com/education/7/8/8/bigimage/fig15.png)
Figure 10A. Histogram of population–uniform distribution: population = 10,000; mean = 5.03; standard deviation = 2.88 : A Simulation Showing the Role of Central Limit Theorem in Handling Non-Normal Distributions : Science and Education Publishing
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Determining the Distribution of Data Using Histograms - Data Science Blog: Understand. Implement. Succed.
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statistics - Histogram, box plot and probability plot - which is better for assessing normality? - Mathematics Stack Exchange
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