# Statistics 20, 003 - Introduction to Probability and Statistics

## Video Lectures

Displaying all 35 video lectures.
 Lecture 1 Play Video Lecture 1: Collecting Data Lecture 2 Play Video Lecture 2: The R Project for Statistical Computing Lecture 3 Play Video Lecture 3: Distribution of Quantitative Variables Lecture 4 Play Video Lecture 4: Variables and Functions in R Lecture 5 Play Video Lecture 6: Body Mass Index, Numeric Summaries of Quantitative Data Lecture 6 Play Video Lecture 7: Graphics Composition Overview Lecture 7 Play Video Lecture 8: Scatter Plots Lecture 8 Play Video Lecture 8: Time Lecture 9 Play Video Lecture 9: Numerical Summaries of Data Lecture 10 Play Video Lecture 10: Fisher's "Lady Tasting Tea" Experiment Lecture 11 Play Video Lecture 11: Designs of Experiments Lecture 12 Play Video Lecture 12: Design of Experiments Lecture 13 Play Video Lecture 13: The Box Model Lecture 14 Play Video Lecture 14: Informal Analysis of an Experiment Lecture 15 Play Video Lecture 15: Deck of Cards Lecture 16 Play Video Lecture 16: Conditional Probability Lecture 17 Play Video Lecture 17: Pascal's & Fermat's Solutions Lecture 18 Play Video Lecture 18: R and Probability Lecture 19 Play Video Lecture 19: Hypothesis Testing Lecture 20 Play Video Lecture 20: Roulette Wheel Lecture 21 Play Video Lecture 21: 0-1 Boxes and Hypothesis Tests Lecture 22 Play Video Lecture 22: Two Probability Laws and Hypothesis Tests for Averages Lecture 23 Play Video Lecture 23: Central Limit Theorem Lecture 24 Play Video Lecture 24: Hypothesis Tests for Averages Lecture 25 Play Video Lecture 25: Survey Design Lecture 26 Play Video Lecture 26: Project Overview Lecture 27 Play Video Lecture 27: Sampling Lecture 28 Play Video Lecture 28: Featured Plots Lecture 29 Play Video Lecture 29: More on Sampling Lecture 30 Play Video Lecture 30: Correlation and Regression Lecture 31 Play Video Lecture 31: Fitting Lines to Data Lecture 32 Play Video Lecture 33: More on Regression Lecture 33 Play Video Lecture 34: Regression Concepts Lecture 34 Play Video Lecture 35: Emails Lecture 35 Play Video Lecture 36