05:01

Estimating a population parameter, part 1

06:45

Introduction to Hypothesis Testing, part 2, R

07:49

Introduction to HT, part 1, R

07:22

CI for 2 Independent Population Means

05:41

ANOVA example 1

04:38

2 Independent t-test, RED

02:42

2 ind t-test, F

05:01

2 Independent T-Test, Example 2, F

03:37

2 Independent T-Test, Example 2, RED

04:26

Testing for Differences, part 1, R

09:25

2 Independent T-Test, Example 1

02:40

2 Independent Data Setup

08:47

Final Project Explanation

02:20

Week 14

13:05

CI for Paired Data

03:42

Paired T-Test, D

04:06

Paired T-Test with R

03:24

Paired T-Test, Left Tailed

06:35

Paired T-Test, Right Tailed Test

05:48

Paired T-Test, R and E

05:47

Summarizing Paired Data

05:47

Summarizing Paired Data

06:13

Independent versus Dependent Data

01:20

Introduction to Testing for Differences

02:59

Defining the parameter, population mean of paired differences

09:22

Paired T-Test, Two Tailed Example

03:35

Paired T-Test Ha examples

04:14

Generic Paired T-Test, F

05:21

Logic of HT

03:10

Introduction to Hypothesis Testing

09:26

Analysis of Two Quantitative Variables, R

03:01

Multivariable Thinking

04:59

Outliers impact on r

07:02

Analysis of Two Quantitative Variables with R

06:12

Association and Causation

04:09

Coefficient of Determination, r-squared

02:53

Extrapolation

03:30

Predicting and finding a Residual

04:59

Regression Line and Regression Equation

02:28

Parameter location for a CI

03:12

Using R to find a CI for mu

02:59

Mechanics of a confidence Interval for One Population Mean

03:41

By Group Summaries

12:54

Analysis of One Quantitative Variable, part 2, R project

03:22

Week 4

02:34

Numeric Summaries using TI 84

11:47

Analysis of One Quantitative Variable, Part 1, R

13:56

Analysis of Categorical Data with R

12:42

Basic Terms, R

04:30

Mechanics of a CI for p

01:56

Margin of Error and Standard Error

02:49

Introduction to the Analysis of Two Quantitative Variables

04:21

CI for mu, example 2

03:10

Clustered Bar Graphs

12:45

Chi-Squared example 2 with a posthoc

08:21

Chi-Squared Example 3 using R

02:40

Expected Counts

06:28

Graphical Displays For One Quantitative Variable With R

03:32

Intro To Histograms

03:14

Intro To Sample-to-Sample Variability