This statistics video tutorial provides a basic introduction into the central limit theorem. It explains that a sampling distribution of sample means will form the shape of a normal distribution regardless of the shape of the population distribution if a large enough sample is taken from the population. Statistics - Video Lessons: Final Exam and Test Prep Videos: __________________________________ Introduction to Statistics: Introduction to Probability: Central Limit Theorem: Standard Error of The Mean: _____________________________________ Confidence Intervals & Margin of Error: Find The Z-Score Given Confidence Interval: How To Calculate The Sample Size: Student's T-Distribution: Confidence Interval-Population Proportion: Chebyshev's Theorem: _____________________________________ Hypothesis Testing - Null & Alternative: Type I and Type II Errors: One Tailed and Two Tailed Tests: Test Static For Means & Pop Proportions: Hypothesis Testing Problems: ____________________________________ Final Exams and Video Playlists: Full-Length Videos and Worksheets: