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The One Most Important Theorem Every Data Scientist Should Know
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()


