timestamps

• 0:00

  Introduction to Sampling Distributions

• 0:39

  Recording and Socials Overview

• 1:09

  Upcoming Cram Events

• 2:44

  Defining Sampling Distribution

• 3:47

  Population vs Sample Distribution

• 5:54

  Building Sampling Distributions

• 8:40

  Normality in Distributions

• 9:44

  Sampling Distribution Applet Demo

• 12:22

  Sample Size Effects

• 15:11

  Estimating Population Parameters

• 18:32

  Describing Sampling Distributions

• 20:47

  Center and Spread Formulas

• 23:55

  Shape and Normal Conditions

• 27:16

  Bias and Variability Concepts

• 31:52

  Inference Conditions Overview

• 36:01

  Independence and Spread

• 39:51

  Distribution Examples

• 41:56

  Proportions Example Setup

• 44:03

  Standard Deviation Calculation

• 46:41

  Probability with Normal CDF

• 49:34

  Means Example Introduction

• 51:39

  Individual Probability Calculation

• 53:43

  Sample Mean Probability

• 56:51

  Casino Analogy Explanation

• 59:29

  Describing Means Distribution

• 1:01:05

  Non-Negotiables Summary

• 1:03:43

  Closing Reminders