timestamps

• 0:00

  Introduction and Overview

• 0:30

  Free Response Scenarios

• 1:02

  Probability Event Types

• 1:32

  Law of Large Numbers

• 2:02

  Multiple Events and Tables

• 2:33

  Discrete Random Variables

• 3:34

  Defining Discrete Variables

• 4:04

  Examples of Discrete Variables

• 5:05

  Probabilities and Expected Value

• 6:07

  Calculating Combined Probabilities

• 7:41

  Expected Value Formula

• 8:42

  Weighted Average Calculation

• 9:46

  Interpreting Expected Value

• 10:47

  Standard Deviation Formula

• 11:49

  Calculator for Statistics

• 12:52

  Discrete Variables Summary

• 13:54

  Binomial Random Variables

• 14:26

  Binomial Conditions Explained

• 17:02

  Binomial Situation Examples

• 18:34

  Non-Binomial Examples

• 20:42

  10% Rule for Independence

• 21:43

  Binomial Probability Formula

• 23:17

  Multiple Choice Guessing Example

• 25:21

  Using BinomialPDF Calculator

• 27:24

  BinomialPDF Interface

• 29:26

  Summation for Cumulative Probabilities

• 29:56

  Shipment Defects Example

• 32:32

  Geometric Random Variables

• 34:05

  Geometric Probability Formula

• 34:36

  Expected Value for Binomial

• 35:37

  Standard Deviation Formulas

• 36:07

  Random Variables Recap

• 36:37

  Past Exam Examples

• 38:40

  Upcoming Topics Preview

• 39:11

  Open Questions Session

• 40:14

  Practice Problem: Conditional Probability

• 42:31

  Independence Check Example

• 45:18

  Athlete Probability Comparison

• 45:51

  Dogs Ownership Probability

• 46:51

  Showing Calculations

• 47:57

  Binomial Exact Probability

• 49:26

  Labeling Parameters

• 50:31

  Expected Value Discussion

• 52:05

  Summation Hack Explanation

• 53:10

  At Least Probability Calculation

• 54:12

  Q&A Clarification