The Normal Probability determines what type of activity deviates from the normal activity. It identifies outliers, skews, and other important results for the calculation of the normal probability.
The Central Limit Theorem. The central limit theorem is the basis for using a normal probability distribution to approximate the sampling distribution of x and p.
So the basis for using normal probability to approximate the sampling distribution of x and p is called the central limit theorem.
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