Thomas AP Statistics

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Textbook: Statistics: Informed Decisions Using Data, Michael Sullivan, III, 2004, Pearson Education, Inc.

Each "aim" consists of notes with model problems, a homework assignment, and solutions to the homework assignment.

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Chapter 1: Introduction and Descriptive Statistics

Chapter 1 Aim 1 Introduction to Statistics
Chapter 1 Aim 2 Vocabulary for Statistics
Chapter 1 Aim 3 Types of Variables
Chapter 1 Aim 4 Statistical Studies
Chapter 1 Aim 5 Bar Graphs
Chapter 1 Aim 6 Graphical Misrepresentation of Data
Chapter 1 Aim 7 Measures of Central Tendency
Chapter 1 Aim 8 Distribution Shapes
Chapter 1 Aim 9 Stem-and-Leaf Plots or Stemplots (Day 1)
Chapter 1 Aim 10 Stem-and-Leaf Plots or Stemplots (Day 2)
Chapter 1 Aim 11 Dot Plots and Histograms
Chapter 1 Aim 12 Determining Interval Classes for Histograms
Chapter 1 Aim 13 Using the TI-83/84 to Construct Histograms

Test 1 Bar Graphs, Stem Plots, and Histograms
Test 1 Solutions

Chapter 1 Aim 14 Cumulative Relative Frequency Plots
Chapter 1 Aim 15 Measures of Dispersion
Chapter 1 Aim 16 The Five Number Summary and Boxplots
Chapter 1 Aim 17 The Five Number Summary and Boxplots with the TI-83/84
Chapter 1 Aim 18 Comparing Distributions in Parallel Boxplots
Chapter 1 Aim 19 AP Statistics Problems with Boxplots

Test 2 Box Plots and Cumulative Relative Frequency Plots
Test 2 Solutions

Chapter 2: The Normal Curve

Chapter 2 Aim 1 The Effect of Linear Transformations on the Center and Spread
Chapter 2 Aim 2 The Normal Curve
Chapter 2 Aim 3 The Standard Normal Curve
Chapter 2 Aim 4 Using Z-Scores to Find Proportions and Observations
Chapter 2 Aim 5 Using the TI-83/84 with Normal Curves
Chapter 2 Aim 6 Finding the Mean and Standard Deviation in Normal Distributions
Chapter 2 Aim 7 Normal Probability Plots
Chapter 2 Aim 8 Review for Test on the Normal Curve

Test 3 The Normal Curve
Test 3 Solutions

Chapter 3: Linear Regression

Chapter 3 Aim 1 Scatter Diagrams
Chapter 3 Aim 2 Scatter Diagrams with the TI-83/84
Chapter 3 Aim 3 Correlation
Chapter 3 Aim 4 Linear Regression (Day 1)
Chapter 3 Aim 5 Linear Regression (Day 2)
Chapter 3 Aim 6 Influential Observations