10:49

Q4 Week 7 Day 2 AP Review

16:06

Q4 Week 7 Day 1 AP Review

14:38

Q4 Week 6 Day 2 AP Review

41:22

Q4 Week 6 Day 1 Unit 8 Chi-Square Tests

30:08

Q4 Week 5 Day 2 Unit 7 Paired t-Procedures

27:39

Q4 Week 5 Day 1 Unit 7 Two Sample t-Procedures

27:25

Q4 Week 4 Day 2 Unit 7 t-Test for Population Mean

22:47

Week 4 Day 1 Unit 7 More on the t-Interval for the Population Mean

31:20

Q4 Week 3 Day 2 t-Interval for Population Mean

24:49

Q4 Week 3 Day 2 z-Test for p1 - p2

36:24

Q4 Week 2 Day 2: Unit 6 Type I and Type II Errors

38:30

Q4 Week 2 Day 1: Unit 6 Significance Tests (z-Test for p)

13:46

Q4 Week 1: Unit 6 Writing Hypotheses for Significance Tests

08:18

Sampling Distribution of a Difference Between Sample Proportions

12:04

Combination and Transformation of Random Variables

14:44

t-Test for µ1-µ2

16:11

Matched Pairs t-Test Example

14:55

Matched Pairs t-Interval

12:06

t-Interval for the Difference of Population Means

24:00

z-Test for Difference of Proportions - 4 Step Process and Example

16:09

z-Interval for Difference of Proportions - 4 Step Process and Example

11:03

Power Calculation for a z-Test for p

12:06

Power and Beta Calculations - Example

20:27

Significance Test for a Population Mean - 4 Step Process and Example

18:39

z-test for p (4 Step Process)

05:52

6.4.3 Cautions about Hypothesis Tests.m4v

07:54

6.4.2 Confidence Interval for Population Proportion.m4v

09:44

6.3.1 z-Test for Popuation Means.m4v

06:05

6.3.6 Null and Alternative Hypothesis with Two Samples.m4v

03:33

6.3.4 Confidence Intervals.m4v

05:20

6 2 5 Test Statistic

07:57

6 2 4 Type I and Type II Errors

09:53

6 1 4 Standard Normal Table Review

04:22

6 2 2 Statistical Significance

05:16

6 2 3 One tailed and Two tailed Tests

06:59

6 1 5 Distribution of Sample Means

04:09

6 1 6 Distribution of Sample Proportions

05:59

6 2 1 Hypothesis Testing

09:44

6 1 1 Sample Statistics and Population Parameters

04:41

6 1 3 Sampling Error and Sample Size

04:59

6 1 2 Sampling with or without Replacement

08:44

3 5 2 68 95 99 7 Rule

09:11

3 1 1 Data Analysis

04:59

3 3 1 Measures of Variation

09:47

4 5 5 Normal Distribution Approximation of the Binomial Distribution

04:43

4 5 4 Risk

07:13

4 5 1 Binomial Distribution

07:40

4 5 2 Geometric Distribution

09:25

4 4 1 "And" Probability for Dependent Events

05:55

4 5 3 Poisson Distribution

08:13

4 4 2 "Either:Or" Probability for Overlapping Events

08:52

4 4 3 Bayes' Rule

04:44

4 4 4 Simulations

09:54

4 3 2 Contingency Tables and Conditional Probability

09:47

4 3 1 Conditional Probability

05:43

4 2 8 "Either:Or" Probability for Non overlapping Events

05:55

4 2 7 Overlapping Events

06:24

4 2 4 "And" vs "Or" Probability

07:41

4 2 6 "And" Probability for Independent Events

06:06

4 2 1 Fundamental Counting Principle