The Basic Practice of Statistics 9th Edition by David Moore, William Notz, Michael Fligner ISBN 1319383955 9781319383954

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Product details:

ISBN 10: 1319383955

ISBN 13: 9781319383954

Author:  David S. Moore, William I. Notz, Michael Fligner 

The Basic Practice of Statistics 9th Edition: Now available with Macmillan’s new online learning tool Achieve, the ninth edition of The Basic Practice of Statistics 9e teaches statistical thinking by guiding students through an investigative process of problem-solving with pedagogy designed to help students of all levels. Examples and exercises from a wide variety of topic areas use current, real data to provide students insight into how and why statistics are used to make decisions in the real world. Achieve for The Basic Practice of Statistics connects the trusted Four-Step problem-solving approach and real world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface. Achieve Online Homework Macmillan’s new online learning tool Achieve features intuitive design, assessment, insights, and reporting built with the direct input of students, educators, and our learning science team. Achieve for The Basic Practice of Statistics features: Learning Objectives tagged to all assessments within Achieve. In-Class Activity Guides to facilitate active learning during class time. over 3,000 homework questions, each with hints, answer-specific feedback, and a fully worked solution. LearningCurve adaptive quizzing. an interactive e-book, powered by VitalSource. multimedia student resources, such as interactive applets and videos. data sets for common statistical software, video technology manuals, and access to Macmillan’s proprietary statistical software, CrunchIt! Content Updates to the Ninth Edition: Examples and exercises more clearly emphasize the decision-making process. Chapter Summaries and Review Chapters have been revised to help students check their knowledge and review for exams. – Summaries are in concise list form, and Skills Reviews (in Review Chapters) refer back to relevant chapter sections. Data in examples and exercises have been updated for currency, and new examples and exercises explore contemporary issues such as social media usage.

 

The Basic Practice of Statistics 9th Edition Table of contents:

Chapter 0: Getting Started

• How the Data Were Obtained Matters
• Always Look at the Data
• Variation Is Everywhere
• What Lies Ahead in This Book
• Exercises

Part I: Exploring Data

Chapter 1: Picturing Distributions with Graphs

• Individuals and Variables
• Categorical Variables: Pie Charts and Bar Graphs
• Quantitative Variables: Histograms
• Interpreting Histograms
• Quantitative Variables: Stemplots
• Time Plots
• Summary and Exercises

Chapter 2: Describing Distributions with Numbers

• Measuring Center: The Mean
• Measuring Center: The Median
• Comparing the Mean and the Median
• Measuring Variability: The Quartiles
• The Five-Number Summary and Boxplots
• Spotting Suspected Outliers and Modified Boxplots
• Measuring Variability: The Standard Deviation
• Choosing Measures of Center and Variability
• Examples of Technology
• Organizing a Statistical Problem
• Summary and Exercises

Chapter 3: The Normal Distributions

• Density Curves
• Describing Density Curves
• Normal Distributions
• The 68–95–99.7 Rule
• The Standard Normal Distribution
• Finding Normal Proportions
• Using the Standard Normal Table
• Finding a Value Given a Proportion
• Summary and Exercises

Chapter 4: Scatterplots and Correlation

• Explanatory and Response Variables
• Displaying Relationships: Scatterplots
• Interpreting Scatterplots
• Adding Categorical Variables to Scatterplots
• Measuring Linear Association: Correlation
• Facts about Correlation
• Summary and Exercises

Chapter 5: Regression

• Regression Lines
• The Least-Squares Regression Line
• Examples of Technology
• Facts About Least-Squares Regression
• Residuals
• Influential Observations
• Cautions About Correlation and Regression
• Association Does Not Imply Causation
• Correlation, Prediction, and Big Data
• Summary and Exercises

Chapter 6: Two-Way Tables

• Marginal Distributions
• Conditional Distributions
• Simpson’s Paradox
• Summary and Exercises

Chapter 7: Exploring Data – Part I Review

• Summary and Exercises

Part II: Producing Data

Chapter 8: Producing Data – Sampling

• Population Versus Sample
• How to Sample Badly
• Simple Random Samples
• Trustworthiness of Inference from Samples
• Other Sampling Designs
• Cautions About Sample Surveys
• The Impact of Technology
• Summary and Exercises

Chapter 9: Producing Data – Experiments

• Observation Versus Experiment
• Subjects, Factors, and Treatments
• How to Experiment Badly
• Randomized Comparative Experiments
• The Logic of Randomized Comparative Experiments
• Cautions About Experimentation
• Matched Pairs and Other Block Designs
• Summary and Exercises

Chapter 10: Data Ethics

• Institutional Review Boards
• Informed Consent
• Confidentiality
• Clinical Trials
• Behavioral and Social Science Experiments
• Summary and Exercises

Chapter 11: Producing Data – Part II Review

• Summary and Exercises

 

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