Central Limit Theorem:
The central limit theorem states that the sampling distribution of the mean approaches Normality as the sample size increases, regardless of the probability distribution of the population from which the sample is drawn. If the population distribution is fairly Normally-distributed, this approach to Normality will happen at a fairly small sample size (10-20). The more the population departs from a Normal distribution, the larger the sample required.
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
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