timestamps

• 0:00

  Introduction and Overview

• 0:36

  Basic Definitions and Plan

• 1:07

  Conditions for Normality

• 1:37

  Course Progress Check

• 2:14

  Inference Big Picture

• 2:45

  Symbols for Proportions and Means

• 3:15

  Population vs Sample

• 4:17

  Building Sampling Distributions

• 4:47

  Candy Machine Simulation

• 8:24

  Summary Statistics Example

• 9:27

  Sampling Distribution vs Model

• 11:01

  Simulation Results Analysis

• 12:39

  Sampling Distribution Definition

• 14:11

  Describing Shape Center Spread

• 15:44

  Formulas for Mean and SD

• 16:15

  Normality Conditions

• 18:19

  Successes and Failures Check

• 20:55

  Formula Calculations

• 21:25

  Varying Sample Size Effects

• 24:05

  Larger Sample Consistency

• 26:07

  Changing Population Proportion

• 28:10

  Condition Violation Example

• 30:45

  Increasing Sample Size Fix

• 33:51

  Understanding Feedback

• 34:51

  Application Scenarios

• 35:22

  Survey Example Problem

• 38:21

  Mean and SD Calculations

• 41:27

  Probability Calculation

• 45:26

  Z-Score and Table Use

• 46:31

  Hypothesis Test Connection

• 49:06

  Preview of Means Distributions

• 50:09

  Session Wrap-Up and Q&A

• 51:11

  Sample vs Sampling Clarification

• 53:16

  Skew in Distributions

• 55:20

  Sample Size Impact on Skew

• 56:23

  Final Thoughts and Goodbye