Videos

Notes: When running a video, you can select the topic you want to watch by clicking on a topic in the table of contents. Also, each has audio so use headphones or use a computer with speakers. Most of the videos are between 3 & 7 minutes long. If a video is longer than 7 minutes, the time is listed to the side.

Course Introduction

Welcome

Chapter Two Sets

2.1 What is a set?	2.3 Intersection of Sets
2.1 Describing a Set	2.3 Union of Sets
2.1 Basic Notation and Terms	2.3 Complement of a Set
2.1 Equivalent Sets	2.3 Set Difference/Relative Complement
2.1 Number of One-to-One Correspondences	2.3 Cardinality of the Union of Sets

2.1/2.2 Equality, Subset, and Proper Subset	2.4 DeMorgan's Laws
	2.4 Symbolic Examples
2.2 Number of Subsets of a Set	2.4 Venn Diagrams and Distributive Properties
2.2 Pascal's Triangle (Number of Subsets)
	2.5 Survey Problem 1 (Basic)
	2.5 Survey Problem 2 (Or)
	2.5 Survey Problem 3 (Inconsistent)

Chapter Twelve Probability and Counting

12.1/12.2 Introduction and Basic Terms	12.8 Introduction to Counting Methods
12.1/12.2 Probability of an Outcome or Event (Emp. vs. Th.)	12.8 Permutations
12.1/12.2 Basic Examples	12.8 Permutation Formulas
	12.8 Permutations with Repetitions
12.3 Odds with Equally Likely Outcomes
12.3 Probability Definition of Odds	12.9 Combinations
12.3 Odds (More Examples)	12.9 Permutations and Combinations
12.5 Complement of an Event	12.9 Poker Counting
12.5 Tree Diagrams for Compound Probability	12.9 Powerball Counting
12.5 Fundamental Counting Principle
12.5 Fundamental Counting Principle (More Examples)	12.10 Counting and Probability Formulas
	12.10 Five Card Poker Hands
12.4 Expected Value	12.10 Powerball 1
12.4 Expected Value (More Examples)	12.10 Powerball 2

12.6 Intersection of Events
12.6 Intersection of Events (More Examples)
12.6 Mutually Exclusive Events
12.6 Union of Events	12.11 Define Binomial Experiment
12.6 Complement of the Union of Events	12.11 Probability for Binomial Experiments
	12.11 Probability for Binomial Experiments (More Examples)
12.7 Conditional Probability	12.11 Number of Binomial Trials Expected Before a Success
12.7 Conditional Probability (More Examples)	12.11. Derivation of Formula - Number of Binomial Trials for Success
12.7 Independent and Dependent Events	12.11 Binomial Probability, Binomial Theorem & Pascal's Triangle

Chapter Fifteen Descriptive Statistics

13.1 Surveys and Data Collection	13.5 Measures of Dispersion
13.1 Basic Definitions for Statistics	13.5 More Measures of Dispersion
	13.5 Coefficient of Variation
13.3 Frequency and Relative Frequency Tables (7:20)
13.3 Bar Graphs and Histograms	13.6 Introduction to the Normal Curve (7:11)
13.3 Interpreting Histograms	13.6 Introduction to z-score
13.3 Stem-and-Leaf Displays	13.6 More z-score Examples
	13.6 More z-score Applications
13.4 What is "average"?
13.4 Advantages & Disadvantages of Types of Averages	13.7 Line of Best Fit - Motivation - Mile Run
13.4 Compute Mean, Median, Mode, and Midrange	13.7 Compute Line of Best Fit
13.4 Inferences Knowing Average and More Info (7:18)	13.7 Compute Linear Correlation Coefficient
13.4 Five-Number-Summary and Box-and Whisker	13.7 Properties of the Linear Correlation Coefficient
	13.7 Summary Example - First Class Stamps

Microsoft Excel 2003 for Statistics

Unless otherwise stated, the above videos were prepared by Timothy Peil. They may be used without permission from the author for home and/or educational (non-profit) purposes only. Any other use must be approved by the author.

Internal Statistics Functions	Line of Best Fit
Statistics and Line Graph	Rescale Axis & Line of Best Fit
Histogram and Frequency Dist.	Troubleshoot Scatter plot & Line of Best Fit

Internal Statistics Functions	Line of Best Fit
Statistics and Line Graph	Rescale Axis & Line of Best Fit
Histogram and Frequency Dist.	Troubleshoot Scatter plot & Line of Best Fit