Business Statistics Lecture 15: Sampling Distributions & the Central Limit Theorem

Business Statistics Lecture 15: Sampling Distributions & the Central Limit Theorem — a complete classroom lecture for B.Com, BBA, MBA and CA students, covering population, sample, parameter and statistic, what a sampling distribution is, sampling distribution of the sample mean, standard deviation vs standard error, the central limit theorem (CLT), using the CLT to calculate probabilities, sampling distribution of a sample proportion, what affects sampling variability. In this lecture: Population • Sample • Parameter and statistic • What a sampling distribution is • Sampling distribution of the sample mean • Standard deviation vs standard error • The central limit theorem (clt) • Using the clt to calculate probabilities • Sampling distribution of a sample proportion • What affects sampling variability. Watch the full Business Statistics course in order:    • Business Statistics: Complete Course (40 L...   Next: Lecture 16 — Estimation & Confidence Intervals:    • Business Statistics Lecture 16: Estimation...   By Anil Kumar, Assistant Professor, Shri Ram College of Commerce (SRCC), University of Delhi. #BusinessStatistics #Statistics #Commerce #BCom #BBA #MBA #CA