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### The One Most Important Theorem Every Data Scientist Should Know

**This article serves as a quick guide on one of the most important theorems that every data scientist should know, the Central Limit Theorem.**

The Central Limit Theorem states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal if the sample size is large enough.

- The sampling is not random.
- The underlying distribution does not have a defined mean/variance.

means = [(randint(1, 7, 50)).mean() for i in range(10)]

plt.hist(means, bins=â??autoâ??)

plt.title(â??Histogram of 50 Dice Roll Sample Meansâ??)

plt.xlabel(â??Averageâ??)

plt.ylabel(â??Countâ??)

plt.show()