UPDATED Version of The Practice of Statistics

Front Matter
	Cover Page
	Title Page
	Copyright Page
	Contents
	About the Authors
	Content Advisory Board and Supplements Team
	Acknowledgments
	To the Student
	Overview: What Is Statistics?
UNIT 1 Exploring One-Variable Data
	Chapter 1 Data Analysis
		Introduction Statistics: The Science and Art of Data
			Organizing Data
			From Data Analysis to Inference
		1.1 Analyzing Categorical Data
			Displaying Categorical Data: Bar Graphs and Pie Charts
			Graphs: Good and Bad
			Analyzing Data on Two Categorical Variables
		1.2 Displaying Quantitative Data with Graphs
			Dotplots
			Describing Shape
			Describing Distributions
			Comparing Distributions
			Stemplots
			Histograms
			Using Histograms Wisely
		1.3 Describing Quantitative Data with Numbers
			Measuring Center: The Mean
			Measuring Center: The Median
			Comparing the Mean and the Median
			Measuring Variability: The Range
			Measuring Variability: The Standard Deviation
			Measuring Variability: The Interquartile Range (IQR)
			Numerical Summaries with Technology
			Identifying Outliers
			Making and Interpreting Boxplots
			Comparing Distributions with Boxplots
		Chapter 1 Wrap-Up
			Free Response AP® Problem, Yay!
			Chapter 1 Review
			Chapter 1 Review Exercises
			Chapter 1 AP® Statistics Practice Test
			Chapter 1 Project American Community Survey
	Chapter 2 Modeling Distributions of Quantitative Data
		Introduction
		2.1 Describing Location in a Distribution
			Measuring Location: Percentiles
			Cumulative Relative Frequency Graphs
			Measuring Location: Standardized Scores
			Transforming Data
		2.2 Density Curves and Normal Distributions
			Density Curves
			Describing Density Curves
			Normal Distributions
			The Empirical Rule
			Finding Areas in a Normal Distribution
			Working Backward: Finding Values from Areas
			Assessing Normality
		Chapter 2 Wrap-Up
			Free Response AP® Problem, Yay!
			Chapter 2 Review
			Chapter 2 Review Exercises
			Chapter 2 AP® Statistics Practice Test
UNIT 2 Exploring Two-Variable Data
	Chapter 3 Exploring Two-Variable Quantitative Data
		Introduction
		3.1 Scatterplots and Correlation
			Explanatory and Response Variables
			Displaying Relationships: Scatterplots
			Describing a Scatterplot
			Measuring Linear Association: Correlation
			Cautions about Correlation
			Calculating Correlation
			Additional Facts about Correlation
		3.2 Least-Squares Regression
			Prediction
			Residuals
			Interpreting a Regression Line
			The Least-Squares Regression Line
			Determining if a Linear Model Is Appropriate: Residual Plots
			How Well the Line Fits the Data: The Role of s and r2 in Regression
			Interpreting Computer Regression Output
			Regression to the Mean
			Correlation and Regression Wisdom
		3.3 Transforming to Achieve Linearity
			Transforming with Powers and Roots
			Transforming with Logarithms: Power Models
			Transforming with Logarithms: Exponential Models
			Putting It All Together: Which Transformation Should We Choose?
		Chapter 3 Wrap-Up
			Free Response AP® Problem, Yay!
			Chapter 3 Review
			Chapter 3 Review Exercises
			Chapter 3 AP® Statistics Practice Test
			Chapter 3 Project
UNIT 3 Collecting Data
	Chapter 4 Collecting Data
		Introduction
		4.1 Sampling and Surveys
			The Idea of a Sample Survey
			How to Sample Badly
			How to Sample Well: Random Sampling
			Other Random Sampling Methods
			Sample Surveys: What Else Can Go Wrong?
		4.2 Experiments
			Observational Studies Versus Experiments
			The Language of Experiments
			Designing Experiments: Comparison
			Designing Experiments: Blinding and the Placebo Effect
			Designing Experiments: Random Assignment
			Designing Experiments: Control
			Designing Experiments: Replication
			Experiments: Putting It All Together
			Completely Randomized Designs
			Randomized Block Designs
		4.3 Using Studies Wisely
			Inference for Sampling
			Inference for Experiments
			The Scope of Inference: Putting it All Together
			The Challenges of Establishing Causation
			Data Ethics
		Chapter 4 Wrap-Up
			Free Response AP® Problem, Yay!
			Chapter 4 Review
			Chapter 4 Review Exercises
			Chapter 4 AP® Statistics Practice Test
			Chapter 4 Project Response Bias
			Cumulative AP® Practice Test 1
UNIT 4 Probability, Random Variables, and Probability Distributions
	Chapter 5 Probability: What Are the Chances?
		Introduction
		5.1 Randomness, Probability, and Simulation
			The Idea of Probability
			Simulation
		5.2 Probability Rules
			Probability Models
			Basic Probability Rules
			Two-Way Tables, Probability, and the General Addition Rule
			Venn Diagrams and Probability
		5.3 Conditional Probability and Independence
			What Is Conditional Probability?
			Conditional Probability and Independence
			The General Multiplication Rule
			Tree Diagrams and Conditional Probability
			The Multiplication Rule for Independent Events
		Chapter 5 Wrap-Up
			Free Response AP® Problem, Yay!
			Chapter 5 Review
			Chapter 5 Review Exercises
			Chapter 5 AP® Statistics Practice Test
UNIT 4 Probability, Random Variables, and Probability Distributions
	Chapter 6 Random Variables and Probability Distributions
		Introduction
		6.1 Discrete and Continuous Random Variables
		6.2 Transforming and Combining Random Variables
		6.3 Binomial and Geometric Random Variables
		Chapter 6 Wrap-Up
			Frappy! Free Response AP® Problem, Yay!
			Chapter 6 Review
			Chapter 6 Review Exercises
			Chapter 6 AP® Statistics Practice Test
	Back Matter
		Formulas for the AP® Statistics Exam
		Solutions
		Tables
			Table A Standard Normal probabilities
			Table B t distribution critical values
			Table C Chi-square distribution critical values
			Table D Random digits
		Technology Corner References
		AP® Statistics Course Skills Alignment to UPDATED The Practice of Statistics, 6th edition
UNIT 5 Sampling Distributions
	Chapter 7 Sampling Distributions
UNIT 6 Inference for Categorical Data: Proportions
	Chapter 8 Estimating Proportions with Confidence
	Chapter 9 Testing Claims About Proportions
UNIT 7 Inference for Quantitative Data: Means
	Chapter 10 Estimating Means with Confidence
	Chapter 11 Testing Claims About Means
UNIT 8 Inference for Categorical Data: Chi-Square
UNIT 9 Inference for Quantitative Data: Slopes
	Chapter 12 Inference for Distributions and Relationships
About the AP Exam and AP Exam Tips
Solutions