09:22

Scope of conclusions (pg 118-119)

06:38

Explanatory, response, and confounding variables and experiments (pg 116-117)

04:30

Explanatory, response, and confounding variables (pg 114)

09:36

Explanatory and response variables (pg 112-113)

09:22

Confidence interval for a mean (pg 110-111)

05:50

Example of 1 mean test (pg 109)

06:14

Example of 1 mean test (pg 108)

05:06

Example of 1 mean test (pg 107)

05:34

Introduction to t (pg 106)

10:29

Intro to hypothesis testing for quantitative variables (pg 104-105)

08:12

Intro to hypothesis testing for quantitative variables (p. 102-103)

05:38

Statistical significance and practical importance (p. 100-101)

09:06

Type I and Type II errors (p. 98-100)

05:47

Significance level (p. 97)

05:26

Significance level (p. 96)

09:13

One proportion z-test and confidence intervals (p. 94-95)

04:59

Confidence intervals (pg 93)

06:15

Confidence intervals (pg 91 - 92)

11:17

Confidence intervals (pg 89-91)

07:13

Confidence intervals (pg 87-88)

06:41

Example of hypothesis testing and review of CLT (pg 86)

08:15

Normal approx for distribution of p-hat (pg 84-85)

16:44

Normal approx for distribution of p-hat (pg 82-84)

11:43

Normal approx for distribution of p-hat (pg 80-81)

10:37

Normal approx for distribution of p-hat (pg 78-79)

06:52

Binomial distribution and p-value (pg 75-77)

07:03

Binomial distribution and p-value (pg 74-75)

08:08

Tactile and computer simulation (pg 73)

09:43

Logic of statistical inference (pg 71-72)

11:19

Bad Sampling examples and conclusions (pg 67 - 70)

09:12

Basic Sampling Methods (pg 66)

07:04

Simple Random Sampling (pg 64-65)

11:39

Introduction to sampling (p. 62-63)

08:10

Example using z-score (pg 60-61)

18:41

Example using z-score (pg 58-59)

13:44

Introduction to z-score for normal distribution (pg 56-57)

10:35

Introduction to Normal Distribution (pg 54-55)

08:31

Uniform distribution (pg 52-53)

07:07

Continuous Random Variables (pg 50-52)

07:30

Binomial Distribution Example (pg 49)

05:20

Binomial Distribution Introduction (pg 48)

13:21

Binomial Distribution Introduction (pg 46-47)

11:16

Discrete Random Variables Variance (pg 43-45)

09:44

Discrete Random Variables Expected Value example (pg 41-42)

14:45

Discrete Random Variables Expected Value(pg 39-40)

07:05

Discrete Random Variables (pg 38)

10:21

Combinations and permutations example (pg 37)

07:39

Combinations and permutations (pg 36)

05:25

Counting ordered arrangements (pg 35)

07:40

Counting - Birthday Problem (p. 34)

05:44

Counting - Multiplication Rule (p. 33)

17:43

Conditional probability, law of total prob, Bayes' Rule (pg 29-31)

03:03

General Multiplication Rule example continued (pg 27)

08:47

General Multiplication Rule and Independence (pg 26)

05:28

Conditional Probability Rule example (pg 25)

05:53

Conditional Probability Rule (pg 24)

12:29

STAT: Example of probability tables, rules, and Venn diagrams (pg 21-23)

20:48

STAT: Example using probability rules (pg 19-20)

05:10

STAT: Probability rules (pg 18)

03:48

STAT: Probability using exact mathematical analysis continued (pg 16)