08:28

Honors Stats: 10.4 Testing a Claim about a Difference Between Two Means

10:02

Honors Stats: 10.3 Estimating a Difference Between Two Means

14:14

Honors Stats: 10.2 Testing a Claim about a Difference Between Two Proportions

13:46

Honors Stats: 10.1 Estimating a Difference Between Two Proportions

10:47

Honors Stats: 9.6 Significance Tests for a Mean

11:54

Honors Stats: 9.5 Testing a Claim about a Mean

16:25

AP Stats: Exam Review - Two Sample Inference

16:48

AP Stats: Exam Review - One Sample Inference

14:12

AP Stats: Exam Review - Chi Squared Review

15:40

Honors Stats: 9.4 Significance Tests for a Proportion

12:20

Honors Stats: 9.3 Testing a Claim about a Proportion

19:45

AP Stats: Exam Review - Linear Regression Review

07:07

Honors Stats: 9.2 Significance Tests and Decision Making - Day 2

08:25

Honors Stats: 9.2 Significance Tests and Decision Making - Day 1

10:29

Honors Stats: 9.1 The Idea of a Significance Test - Day 2

12:27

Honors Stats: 9.1 The Idea of a Significance Test - Day 1

05:41

Honors Stats: 8.6 Confidence Intervals for a Mean

12:52

Honors Stats: 8.5 Estimating a Mean

09:52

Honors Stats: 8.4 Confidence Intervals for a Proportion

13:28

Honors Stats: 8.3 Estimating a Proportion

16:06

Honors Stats: 8.1 The Idea of a Confidence Interval

12:05

Honors Stats: 8.2 What Affects the Margin of Error

06:16

AP Stats: Exam Review - Components of Experimental Design

07:56

Honors Stats: 7.5 The Central Limit Theorem

07:38

Honors Stats: 7.4 Sampling Distributions of Sample Means

10:43

Honors Stats: 7.3 Sampling Distributions of Sample Proportions

10:46

Honors Stats: 7.1 What is a Sampling Distribution

09:09

Honors Stats: 6.5 Normal Approximations to Binomial Distributions

09:48

Honors Stats: 6.4 Analyzing Binomial Random Variables

13:30

Honors Stats: 6.3 Binomial Random Variables

11:07

Honors Stats: 6.2 Analyzing Discrete Random Variables

10:36

Honors Stats: 6.1 Random Variables

09:10

Honors Stats: 5.8 Combinations and Probability

08:01

Honors Stats: 5.7 The Multiplication Counting Principle and Permutations

09:08

Honors Stats: 5.6 The Multiplication Rule for Independent Events

08:28

Honors Stats: 5.5 The General Multiplication Rule and Tree Diagrams

10:03

Honors Stats: 5.4 Conditional Probability and Independence

08:20

Honors Stats: 5.3 Two Way Tables and Venn Diagrams

09:48

Honors Stats: 5.2 Basic Probability Rules

06:36

Honors Stats: 5.1 Randomness, Probability, and Simulation

07:53

Honors Stats: 4.8 Using Studies Wisely

09:06

Honors Stats: 4.7 Inference for Experiments

06:36

Honors Stats: 4.6 How to Experiment Well

10:27

Honors Stats: 4.5 Observational Studies and Experiments

09:52

Honors Stats: 4.4 Inference for Sampling

07:42

Honors Stats: 4.3 Sampling and Surveys

06:26

Stats Honors: 4.2 Sampling: Good and Bad

05:06

Unit 3 Review: Sample Types and Biases

03:09

Unit 2 Review: Assessing Regression Models

03:44

Unit 2 Review: Describing Data

03:39

Unit 1 Review: Boxplots and the IQR Rule

02:39

Unit 2 Review Topic: Interpret Slope and Y-intercepts

07:18

Stats Honors: 4.1 Introduction to Data Collection

11:24

Stats Honors: 3.7 Assessing a Regression Model

07:28

Stats Honors: 3.6 Least Squares Regression Lines

11:03

Stats Honors: 3.5 Regression Lines

09:20

Stats Honors: 3.4 More About Correlation

06:33

Stats Honors: 3.3 Correlation

05:21

Stats Honors: 3.2 Relationships Between Two Quantitative Variables

06:56

Stats Honors: 3.1 Relationships Between Two Categorical Variables