00:45

Blooms Taxonomy of Learning Levels

19:47

Classical Probability: Definitions and Properties

26:36

Relative Frequency Probability: Definition and Properties

38:26

Additional Measures for Quantifying Uncertainty and Chance - Odds, Logits, and Entropy

11:36

How Statistics Deals with Uncertainty and Chance - Probability

07:32

Overview of the Field of Statistics

29:23

Spearman's Rank Correlation - Examples

28:41

The Spearman Rank Correlation Coefficient

30:18

Nonparametric Analysis of Data from a Randomized Complete Block Designed Experiment

30:46

Follow-up Analyses to a Significant Kruskal-Wallace Test

24:02

The Kruskal-Wallace Test - More Examples

18:41

Nonparametric Comparison of Two or More Populations - The Kruskal-Wallace Test

21:10

The Mann-Whitney Test - Example of a One-Tailed Test

30:55

Large-Sample Approximation to the Mann-Whitney Test

18:46

The Mann-Whitney Test - Examples

30:47

Nonparametric Comparison of Two Populations Using Independent Samples - The Mann-Whitney Test

42:09

Nonparametric Comparison of Two Populations Using Paired Samples

43:41

Wilcoxon Signed Rank Test for a Population Median

15:25

Assessment of Power of the Median Test via Comparison with the T-test

28:07

Applicability to Skewed and Heavy-Tailed Populations

34:00

Population Median Approximate Hypothesis Tests - Examples

17:15

Population Median Approximate Hypothesis Tests

24:42

Population Median Two-Tailed Hypothesis Test

24:23

Population Median Left-Tailed Hypothesis Test

38:16

Population Median Right-Tailed Hypothesis Test

21:48

The Binomial Distribution

19:10

Introduction to Hypothesis Tests for a Population Median

18:31

Confidence Interval Estimation of a Population Proportion

23:28

Hypothesis Tests for a Population Proportion

25:08

Confidence Interval Estimation of a Population Mean when the Population Variance is Unknown

28:27

Hypothesis Testing about a Population Mean using a T-Test - Examples

16:32

Hypothesis Testing About a Population Mean Using the T-Test

23:10

Confidence Interval Estimation for a Population Mean When the Population Standard Deviation is Known

39:30

The Power Function and the Operating Characteristic Function

13:45

Calculation and Interpretation of P-Values

38:24

Review of Hypothesis Tests about a Single Population Mean

21:11

Principles of Inference - Estimation of a Population Parameter

21:00

Principles of Inference - Type I and Type II Errors, Significance Level, Power, and P-Values

15:12

Principles of Inference - Overview

09:11

Normal Approximation to the Binomial Distribution - Example 2

16:29

Normal Approximation to the Binomial Distribution - Example 1

21:58

Review of Sampling Distributions and the Central Limit Theorem

19:01

ANOVA for a Complete-Factorial Treatment Structure - Example 5.5

12:46

Regression Estimation

12:31

The Five-Number Summary and Box Plots

14:41

Measures of Variation

27:43

Organizing and Summarizing Data

20:16

Measures of Location

33:12

Characterizing Data by Type, Level, and Shape

08:31

Cluster Random Sampling - Estimating a Population Proportion

17:06

Cluster Random Sampling - Estimating a Population Mean

09:37

Cluster Random Sampling - Estimating a Population Total

19:11

Sample Size Determination for Ratio Estimation

15:01

Ratio Estimation of a Population Total

12:01

Ratio Estimation of a Population Mean

24:51

Ratio Estimation - Estimating the Proportionality Constant

29:11

Inferences for Proportions Using Stratified Random Sampling

16:16

Inferences for a Population Total Using Stratified Random Sampling

47:46

Determining Sample Sizes for Stratified Random Sampling

47:06

Inferences About Strata Means and the Overall Population Mean Under Stratified Random Sampling