What is Statistics?

The Language of Variation-Variables

Representing Categorical Variables With Tables

Representing Categorical Variables With Graphs

Representing Two Categorical Variables

Graphing Quantitative Data

Describing the Distribution of Quantitative Data

Summary Statistics for a Quantiative Variable-Measures of Center

Summary Statistics for a Quantiative Variable-Measures of Spread

Summary Statistics for a Quantiative Variable-The 5 Number Summary and Unusual Values

Summary Statistics for a Quantiative Variable-Cumulative Relative Frequency

Graphical Representations of Summary Statistics

Graphical Representations-Time Series, Mistakes, Pros and Cons

Graphing Comparative Displays

Comparing Distributions-Boxplots

Comparing Distributions-Other Displays

Standard Normal Model and Density Curves

Normal Model, z, and Area Under the Curve

Normal Model and Solving for Unknowns

Graphing Bivariate Quantitative Data

Correlation

Linear Regression Models

Least Squares Regression Models

Residuals and Their Calculations

Residuals and Their Interpretations

Departures from Linearity: Points of Interest

Departures from Linearity: Subsets and LSRL Issues

Straightening Data

Probability Concepts and Terms Through Simulations

The 3 Big Tools: Counting, Venn Diagrams & Complements

Event Unions and Intersections

The Multiplication Rule and Independence

Conditional Probability and Tree Diagrams

Revisiting the Normal Model

Revisiting the Rules of Probability

Expected Value

Random Variables

Random Variable Combinations and Transformations

Random Variables and Normal Calculations

Binomial Distributions and Model

Binomial Parameters

Geometric Distribution and Model