Central Limit Theorem - Sampling Distribution of Sample Means - Stats & Probability

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. Introduction to Statistics: Mean, Median, Mode, & Range: Weighted Mean & Averages: Arithmetic, Geometric, & Harmonic Mean: Simple Frequency Tables: Side By Side Stem and Leaf Plots: Quartiles, Deciles, & Percentiles: .