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The Basic Practice of Statistics cover

The Basic Practice of Statistics

by David S. Moore, William I. Notz, Michael A. Fligner

9th Edition

Publisher: W.H. Freeman & Company

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Probability & Statistics

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Book Details

Print ISBN9781319244378
eText ISBN9781319383954
PublisherW.H. Freeman & Company
Publishing Year2021
Edition9th Edition
LanguageEnglish
Pages800

Mastering introductory statistics requires far more than memorizing formulas; it demands a clear, intuitive understanding of how data shapes our daily decisions. The Basic Practice of Statistics 9th Edition addresses this modern educational challenge by placing real-world data at the forefront of the learning experience. By focusing on practical data analysis rather than abstract mathematical theory, this textbook empowers students from diverse academic backgrounds to develop crucial quantitative literacy skills. In an era dominated by massive datasets and algorithmic decision-making, having a structured framework to interpret numbers is an essential asset for any college student preparing for a professional career.

The authors present a comprehensive exploration of statistical concepts, structured around the collection, analysis, and interpretation of quantitative information. Students are introduced to graphical representations, numerical summaries, probability theories, and formal inference methods. Through a systematic approach, the text demystifies complex topics such as regression, hypothesis testing, and experimental design. The narrative maintains a conversational yet rigorous tone, ensuring that students grasp the underlying logic of statistical reasoning. By examining genuine datasets from various scientific fields, learners see firsthand how statistical tools solve actual social, environmental, and business problems. This practical focus keeps students engaged throughout the semester.

At the heart of this textbook is a highly effective pedagogical framework designed to foster independent problem-solving skills. The Basic Practice of Statistics 9th Edition utilizes a signature four-step process of state, plan, solve, and conclude, which guides learners from initial data exploration to final practical conclusions. This structured methodology helps students overcome common anxieties associated with quantitative coursework. Instructors worldwide adopt this resource for its clarity, updated datasets, and robust digital integration. For students seeking a flexible and portable learning option, accessing The Basic Practice of Statistics 9th Edition PDF ensures they can study these essential concepts on any digital device. This edition continues to set the gold standard for introductory statistics education.

Table of Contents

  1. Chapter 1: Picturing Distributions with Graphs

    • • Categorical and Quantitative Variables
    • • Histograms and Stemplots
    • • Interpreting Graphs
  2. Chapter 2: Describing Distributions with Numbers

    • • Measuring Center: Mean and Median
    • • Measuring Spread: Standard Deviation
    • • The Five-Number Summary and Boxplots
  3. Chapter 3: The Normal Distributions

    • • Density Curves
    • • The 68-95-99.7 Rule
    • • Standardizing and z-Scores
  4. Chapter 4: Scatterplots and Correlation

    • • Explanatory and Response Variables
    • • Interpreting Scatterplots
    • • The Correlation Coefficient r
  5. Chapter 5: Regression

    • • The Least-Squares Regression Line
    • • Facts About Least-Squares Regression
    • • Outliers and Influential Observations
  6. Chapter 6: Two-Way Tables

    • • Marginal and Conditional Distributions
    • • Simpson's Paradox
  7. Chapter 7: Exploring Data: Part I Review

    • • Review of Exploratory Data Analysis
    • • Part I Exercises
  8. Chapter 8: Producing Data: Sampling

    • • Simple Random Samples
    • • Designing Samples
    • • Sample Surveys in the Real World
  9. Chapter 9: Producing Data: Experiments

    • • Designing Experiments
    • • Randomized Comparative Experiments
    • • Cautions About Experiments
  10. Chapter 10: Introducing Probability

    • • Idea of Probability
    • • Probability Models
    • • Probability Rules
  11. Chapter 11: Sampling Distributions

    • • Parameters and Statistics
    • • The Law of Large Numbers
    • • The Central Limit Theorem
  12. Chapter 12: General Rules of Probability

    • • Venn Diagrams and Probability
    • • Conditional Probability
    • • The Multiplication Rule
  13. Chapter 13: Binomial Distributions

    • • The Binomial Setting
    • • Binomial Probabilities
    • • Normal Approximation for Binomial
  14. Chapter 14: Confidence Intervals: The Basics

    • • The Estimating Behavior of a Sample Mean
    • • Constructing Confidence Intervals
    • • Choosing the Sample Size
  15. Chapter 15: Tests of Significance: The Basics

    • • The Reasoning of Significance Tests
    • • Stating Hypotheses
    • • P-Values and Statistical Significance

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▶Research Sources (9)
  • The Basic Practice of Statistics by: David S. Moore - RedShelf
  • The Basic Practice of Statistics, 9th Edition | Macmillan Learning US
  • Buy or Rent Basic Practice of Statistics 9th Edition | David S. Moore
  • The Basic Practice of Statistics | Rent | 9781319383954 - Valore
  • ISBN 9781319383954 - The Basic Practice of Statistics 9th Edition ...
  • Introduction to the Practice of Statistics
  • The Basic Practice of Statistics, 9th ed. by David S. Moore
  • The Basic Practice of Statistics - Google Books
  • The Basic Practice of Statistics 9th Edition by David Moore, William ...

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