Sets, Counting, and Probability
Video Lectures
Displaying all 15 video lectures.
Lecture 1![]() Play Video |
Probability, Intuition, and Axioms Topics: Probability by Symmetry; Probability by Experiment; Payoffs and Probability; Fair Price and Probability; Notation to Combine Sets; Venn Diagrams; Events and Sample Spaces; Event Spaces; Addition of Probabilities; Probability Functions; Inclusion-Exclusion Rule; Many Ways to Skin a Cat |
Lecture 2![]() Play Video |
Probability by Counting and Inclusion-Exclusion Topics: Review of the Basics; DeMorgan's Laws; Inclusion-Exclusion; Cups and Saucers; Cups and Saucers # 2; Urns; Family Planning; Twenty-first-Century Sheherezade; Craps; Achilles Rolls of a 6 |
Lecture 3![]() Play Video |
Principles of Counting Topics: Count A Cartesian Product; The Binomial Theorem; Counting Poker Hands; Counting Bridge Hands; The Munchkin Problem; Genoese Lottery; Counting Suit Patterns; Negative Binomial Theorem; Count by Inclusion-Exclusion |
Lecture 4![]() Play Video |
Conditional Probability Topics: St. Paul at Lystra; Conditional Four Aces; Conditional Probability; Independence of Events; Complimentary Events; The Bearded Man Problem; Lemons; Two Useful Theorems; Conditional Munchkins; Monty Hall Problem; Random DessertsThese lectures were offered as an online course at the Harvard Extension SchoolThis online math course develops the mathematics needed to formulate and analyze probability models for idealized situations drawn from everyday life.View complete course (Outline, Problem sets,etc) at: http://www.extension.harvard.edu/open-learning-initiative/se... |
Lecture 5![]() Play Video |
Conditional Craps Topics: Independence of 3 Events; Compound Experiments; Accidental Independence; Sudden Death; Sampling Paradox |
Lecture 6![]() Play Video |
Lying Witnesses and Simpson's Paradox Topics: Wisdom of Solomon; Eddington's Controversy; Affirmative Action; Simpson's Paradox |
Lecture 7![]() Play Video |
Random Variables & Distributions Topics: Discrete Random Variables; Event Space for a DRV; Bridge and Poker; Binomial Distribution; Geometric Distribution; Negative Binomial Distribution; Exponential Function; Poisson Distribution; Distribution Function; Distribution Examples; Function of Random Var; First Computer Project |
Lecture 8![]() Play Video |
Expectation I: Binomial Expectation & Variance Topics: Unconscious Statistician; Properties of Expectation; Binomial Expectation; Tail-Sum Theorem; Geometric Tail-Sum; Negative Binomial Expectation; Coupons Problem; Variance; Telescoping Series; Convergence |
Lecture 9![]() Play Video |
Expectation II: Infinite & Conditional Expectation Topics: Infinite Expectation; Royal Oak Lottery; Poisson as Limit; Conditional Random Var; Conditional Expectation; Runs of Heads and Tails; Two Wins Takes All |
Lecture 10![]() Play Video |
Geometric & Negative Hypergeometric Distributions Topics: Tartan Dice, Terminated Geometric, World Series Pitchers, Negative Hypergeometric, Coin Tossing |
Lecture 11![]() Play Video |
Gambling: Random Walks & Gambler's Ruin Topics: Casino Night; Random Walk Examples; Random Walk Terminology; Gambler's Ruin; Ruin in Fair Casino; Time until Win or Ruin; A Fair Game; Walk as a Random Variable; Ballot Theorem; Hitting Time Theorem; Expected Lead Times |
Lecture 12![]() Play Video |
Expected Lead Time & Bijections between Paths Topics: Expected Lead Time; Bijections between Paths-Another Bijection; Last Visit to Origin; First Visit to Final; First Visit to Max; First Return; Returning Just Once; Strange but True |
Lecture 13![]() Play Video |
Variables: Independent, Uncorrelated, & Generating Functions Variables-First Visit to Max; Sojourn Times; Independent Variables; Uncorrelated Variables: A Counterexample; Generating Function; Product of Generating Functions; A Simple Example; Generating Function for 2 Dice; Clever Loaded Dice; Well-Known Distributions |
Lecture 14![]() Play Video |
Basic Inequality, Markov's Inequality & Chebyshov's Inequality Topics: Basic Inequality; Markov's Inequality; Chebyshov's Inequality; Weak Law of Large Numbers; Weak Law, continued; Strong Law of Large Numbers |
Lecture 15![]() Play Video |
Review and Questions #1-10 In the last lecture, Prof. Bamberg concludes the lecture by working on 10 exercises with the class. |