UPDATED Version of The Practice of Statistics 6th Edition by Daren S. Starnes, ISBN-13: 978-1319269296
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UPDATED Version of The Practice of Statistics 6th Edition by Daren S. Starnes, ISBN-13: 978-1319269296
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- 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, The UPDATED Practice of Statistics, Sixth edition features a revised organization to match the new unit structure in the 2019-2020 Course Framework for AP® Statistic perfectly.
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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