**UPDATED Version of The Practice of Statistics 6th Edition by Daren S. Starnes, ISBN-13: 978-1319269296**

[PDF eBook eTextbook] – **Available Instantly**

- Publisher: W. H. Freeman; Sixth edition (December 16, 2019)
- Language: English
- ISBN-10: 131926929X
- ISBN-13: 978-1319269296

* The Practice of Statistics* is the most trusted program for AP® Statistics because it provides teachers and students with everything they need to be successful in the statistics course and on the AP® Exam. With the expert authorship of high school AP® Statistics veterans, Daren Starnes and Josh Tabor and their supporting team of AP® teacher/leaders,

*features a revised organization to match the new unit structure in the 2019-2020 Course Framework for AP® Statistic perfectly.*

**The UPDATED Practice of Statistics, Sixth edition****Table of Contents:**

Front Matter

Cover Page

Title Page

About the Authors

Copyright Page

Contents

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

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

UNIT 5 Sampling Distributions

Chapter 7 Sampling Distributions

Introduction

7.1 What Is a Sampling Distribution?

Parameters and Statistics

The Idea of a Sampling Distribution

Describing Sampling Distributions

Section 7.1 Summary

7.2 Sample Proportions

The Sampling Distribution of p^

Using the Normal Approximation for p^

The Sampling Distribution of a Difference Between Two Proportions

Section 7.2 Summary

7.3 Sample Means

The Sampling Distribution of x ¯

Sampling from a Normal Population

The Central Limit Theorem

The Sampling Distribution of a Difference Between Two Means

Section 7.3 Summary

Chapter 7 Wrap-Up

Free Response AP® Problem, Yay!

Chapter 7 Review

Chapter 7 Review Exercises

Chapter 7 AP® Statistics Practice Test

Cumulative AP® Practice Test 2

UNIT 6 Inference for Categorical Data: Proportions

Chapter 8 Estimating Proportions with Confidence

Introduction

8.1 Confidence Intervals: The Basics

The Idea of a Confidence Interval

Interpreting Confidence Level

What Affects the Margin of Error?

Section 8.1 Summary

8.2 Estimating a Population Proportion

Constructing a Confidence Interval for p

Putting It All Together: The Four-Step Process

Choosing the Sample Size

Section 8.2 Summary

8.3 Estimating a Difference in Proportions

Confidence Intervals for p1−p2

Putting It All Together: Two-Sample z Interval for p1−p2

Section 8.3 Summary

Chapter 8 Wrap-Up

Free Response AP® Problem, Yay!

Chapter 8 Review

Chapter 8 Review Exercises

Chapter 8 AP® Statistics Practice Test

Chapter 9 Testing Claims About Proportions

Introduction

9.1 Significance Tests: The Basics

Stating Hypotheses

Interpreting P-values

Making Conclusions

Type I and Type II Errors

Section 9.1 Summary

9.2 Tests About a Population Proportion

Performing a Significance Test About p

Putting It All Together: One-Sample z Test for p

Two-Sided Tests

The Power of a Test

Section 9.2 Summary

9.3 Tests About a Difference in Proportions

Significance Tests for p1–p2

Putting It All Together: Two-Sample z Test for p1–p2

Section 9.3 Summary

Chapter 9 Wrap-Up

Free Response AP® Problem, Yay!

Chapter 9 Review

Chapter 9 Review Exercises

Chapter 9 AP® Statistics Practice Test

UNIT 7 Inference for Quantitative Data: Means

Chapter 10 Estimating Means with Confidence

Introduction

10.1 Estimating a Population Mean

The Problem of Unknown σ

Conditions for Estimating μ

Constructing a Confidence Interval for μ

More About the Margin of Error

Section 10.1 Summary

10.2 Estimating a Difference in Means

Confidence Intervals for μ1−μ2

Putting It All Together: Two-Sample t Interval for μ1−μ2

Comparing Two Means: Paired Data

Confidence Intervals for µdiff

Section 10.2 Summary

Chapter 10 Wrap-Up

Free Response AP® Problem, Yay!

Chapter 10 Review

Chapter 10 Review Exercises

Chapter 10 AP® Statistics Practice Test

Chapter 11 Testing Claims About Means

Introduction

11.1 Tests About a Population Mean

Carrying Out a Significance Test for μ

Putting It All Together: One-Sample t Test for μ

Two-Sided Tests and Confidence Intervals

Using Tests Wisely

Section 11.1 Summary

11.2 Tests About a Difference in Means

Significance Tests for μ1–μ2

Putting It All Together: Two-Sample t Test for μ1–μ2

Significance Tests for μdiff

Paired Data or Two Samples?

Section 11.2 Summary

Chapter 11 Wrap-Up

Free Response AP® Problem, Yay!

Chapter 11 Review

Chapter 11 Review Exercises

Chapter 11 AP® Statistics Practice Test

Cumulative AP® Practice Test 3

UNIT 8 Inference for Categorical Data: Chi-Square

UNIT 9 Inference for Quantitative Data: Slopes

Chapter12 Inference for Distributions and Relationships

Introduction

12.1 Chi-Square Tests for Goodness of Fit

Stating Hypotheses

Comparing Observed and Expected Counts: The Chi-Square Test Statistic

The Chi-Square Distributions and P-Values

Carrying Out a Test

Section 12.1 Summary

12.2 Inference for Two-Way Tables

Tests for Homogeneity: Stating Hypotheses

Tests for Homogeneity: Expected Counts and the Chi-Square Test Statistic

Tests for Homogeneity: Conditions and P-values

Putting It All Together: The Chi-Square Test for Homogeneity

Relationships Between Two Categorical Variables

Tests for Independence: Stating Hypotheses

Tests for Independence: Expected Counts

Tests for Independence: Conditions and Calculations

Putting It All Together: The Chi-Square Test for Independence

Using Chi-Square Tests Wisely

Section 12.2 Summary

12.3 Inference for Slope

Sampling Distribution of b

Conditions for Regression Inference

Estimating the Parameters

Constructing a Confidence Interval for the Slope

Performing a Significance Test for the Slope

Section 12.3 Summary

Chapter 12 Wrap-Up

Free Response AP® Problem, Yay!

Chapter 12 Review

Chapter 12 Review Exercises

Chapter 12 AP® Statistics Practice Test

Cumulative AP® Practice Test 4

Back Matter

About the AP® Exam and AP® Exam Tips

Formulas for the AP® Statistics Exam

Solutions

Notes and Data Sources

Glossary/Glosario

Index

Tables

Table A Standard Normal probabilities

Table B t distribution critical values

Table C Chi-square distribution critical values

Table D Random digits

Inference Summary

Technology Corner References

AP® Statistics Course Skills Alignment to Updated The Practice of Statistics

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