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Introduction to Statistics and Data Analysis

By Roxy Peck, Chris Olsen

7th Edition © 2025
Discipline:Statistics
Course:Introductory Statistics
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Peck and Olsen's INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 7th Edition with WebAssign empowers students to think statistically by focusing on conceptual understanding, real data usage and interpretation and communication of statistical information. In this edition, data and examples have been carefully selected to emphasize diversity, equity, inclusion and belonging (DEIB), ensuring a comprehensive learning experience for all. Additionally, new "What Do You Think?" questions encourage students to reflect and connect concepts to real-world situations. Aligned with the GAISE (Guidelines for Assessment and Instruction in Statistics Education) college report and informed by student learning research, the text highlights the application of concepts to students and their surroundings.

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About this product

Peck and Olsen's INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 7th Edition with WebAssign empowers students to think statistically by focusing on conceptual understanding, real data usage and interpretation and communication of statistical information. In this edition, data and examples have been carefully selected to emphasize diversity, equity, inclusion and belonging (DEIB), ensuring a comprehensive learning experience for all. Additionally, new "What Do You Think?" questions encourage students to reflect and connect concepts to real-world situations. Aligned with the GAISE (Guidelines for Assessment and Instruction in Statistics Education) college report and informed by student learning research, the text highlights the application of concepts to students and their surroundings.

REAL DATA. Authentic scenarios with real data help students understand statistical concepts in interesting contexts that relate to their own lives.

Margin Notes, including "Understanding the context," "Consider the data," "Formulate a plan," "Do the work," and "Interpret the results" appear in appropriate places in the examples to highlight the importance of context and to increase student awareness of the steps in the data analysis process.

"Interpreting and Communicating the Results of Statistical Analysis" sections--which emphasize the importance of being able to interpret statistical output and communicate its meaning to non-statisticians--have assignable end-of-section questions associated with them.

The book emphasizes graphical display as a necessary component of data analysis and provides broad coverage of sampling, survey design, experimental design and transformations, and nonlinear regression.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Dedication
Author Bios
Preface
Acknowledgments
Chapter 1. The Role of Statistics and the Data Analysis Process*Preview this chapter
Chapter 2. Collecting Data Sensibly
Chapter 3. Graphical Methods for Describing Data
Chapter 4. Numerical Methods for Describing Data
Chapter 5. Summarizing Bivariate Data
Chapter 6. Probability
Chapter 7. Random Variables and Probability Distributions
Chapter 8. Sampling Variability and Sampling Distributions
Chapter 9. Estimation Using a Single Sample
Chapter 10. Hypothesis Testing Using a Single Sample
Chapter 11. Comparing Two Populations or Treatments
Chapter 12. The Analysis of Categorical Data and Goodness-of-Fit Tests
Chapter 13. Simple Linear Regression and Correlation: Inferential Methods
Chapter 14. Multiple Regression Analysis
Chapter 15. Analysis of Variance
Chapter 16. Nonparametric (Distribution-Free) Statistical Methods (Optional)
Appendix. Statistical Tables
Show more

Chapter 1. The Role of Statistics and the Data Analysis ProcessPreview this chapter ↗

Section 1.1. Why Study Statistics? ↗
Section 1.2. The Nature and Role of Variability ↗
Section 1.3. Statistics and the Data Analysis Process
Preview this section ↗
The Data Analysis Process ↗
Section 1.3. Exercises ↗
Section 1.4. Types of Data and Some Simple Graphical Displays
Preview this section ↗
Types of Data ↗
Two Types of Numerical Data ↗
Frequency Distributions and Bar Charts for Categorical Data ↗
Bar Charts ↗
Dotplots for Numerical Data ↗
Section 1.4. Exercises ↗
Chapter Activities ↗
Summary ↗
Chapter Review. Exercises ↗
Technology Notes ↗

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