Cover: Statistics for Research and Life, 1st Edition by Gary Lewandowski Jr.; Kevin McIntyre

Statistics for Research and Life

First Edition  ©2024 Gary Lewandowski Jr.; Kevin McIntyre Formats: Achieve, E-book, Print

Authors

  • Headshot of Gary W. Lewandowski, Jr.

    Gary W. Lewandowski, Jr.

    Gary W. Lewandowski, Jr. grew up in a suburb of Philadelphia and went on to receive his B.A. from Millersville University of Pennsylvania and then his Ph.D. in Social/Health Psychology from Stony Brook University. Gary is a husband, father, dog-owner, professor and former chair in the Department of Psychology at Monmouth University, and author of Stronger Than You Think: The 10 Blind Spots That Undermine Your Relationship...and How to See Past Them. He has published over 50 academic articles and book chapters, and given over 120 conference presentations (most co-authored with undergraduates). Dr. Lewandowskis research, writing, and public speaking focus on the self and relationships. His research also examines ways to improve research methods and statistics instruction. He is a nationally recognized teacher who the Princeton Review recognized among its Best 300 Professors from an initial list of 42,000. He has also won Distinguished Teaching Awards at Stony Brook University and at Monmouth, and had his Intimate Relationships course featured in a USA Today article. He has given a TEDx talk, Break-ups Dont Have to Leave You Broken, which has over 2 million views. Currently, Dr. Lewandowski writes the Psychology of Relationships blog on Psychology Today. His expertise and articles (150+ of them) have appeared in mass media outlets such as The New York Times, Wall Street Journal, Business Insider, The Washington Post, CNN, APA Monitor, WebMD, and Scientific American, and have been enjoyed by over 5 million readers.

  • Headshot of Kevin P. McIntyre

    Kevin P. McIntyre

    Kevin McIntyre earned a B.S. degree in Psychology from the University of Illinois at Urbana-Champaign and a Ph.D. in Social Psychology with a graduate minor in Research Methods and Statistics from Saint Louis University. He is currently a Professor of Psychology at Trinity University in San Antonio, Texas, where he primarily teaches courses in statistics and research methods, social psychology, and introductory psychology. He is the creator of OpenStatsLab.com, which is a resource for the teaching of statistics. McIntyre’s research focuses on how romantic relationships affect individuals’ perceptions of self and identity, and his research has been published in the Journal of Social and Personal Relationships, Self and Identity, and Personal Relationships. He co-edited a book entitled Interpersonal Relationships and the Self-Concept and his work has been supported by grants from the Association for Psychological Science and the Society for Personality and Social Psychology. In addition to his teaching and research, McIntyre has worked as a statistical consultant on a variety of medical, educational, and psychological research projects. He has also served as a statistical consultant in legal proceedings involving professional sports teams, international technology firms, and financial investment services. McIntyre was born in Naperville, Illinois, where he developed a lifelong interest in rooting for sports teams that have very little chance of winning. He is an avid golfer who once shot an even par round of 72. He currently lives in San Antonio, Texas, with his wife, Michele, and daughter, Isla, who are the loves of his life.

Table of Contents

Preface

Chapter 1: Why Statistics Are So Important
Chapter 2: Frequency Distributions and Visual Displays of Data
Chapter 3: Measures of Central Tendency & Variability
Chapter 4: Z-Scores and the Normal Curve
Chapter 5: Probability and the Distribution of Sample Means
Chapter 6: Introduction to Hypothesis Testing
Chapter 7: Hypothesis Testing with a Distribution of Sample Means
Chapter 8: Statistical Significance, Confidence Intervals, Effect Size, and Power
Chapter 9: Introduction to t-Tests: The Single Sample t-Test and t-Test for Dependent Means
Chapter 10: t-Test for Two Independent/Unrelated Samples
Chapter 11: One-Way Analysis of Variance (ANOVA)
Chapter 12: Repeated-Measures Analysis of Variance ( RM ANOVA)
Chapter 13: Factorial Analysis of Variance (ANOVA)
Chapter 14: Correlation
Chapter 15: Regression
Chapter 16: Chi-Square Tests

Appendix A: Mathematics Refresher
Appendix B: Where Does Data Come From? A Primer on Research Methods and Design
Appendix C: Statistical Tables

Glossary
Name Index
Subject Index

Product Updates

What’s New in Achieve

Summer 2026 Updates

  • AI Tutor in Achieve provides real-time guidance on foundational and current concepts without giving answers away. Using the Socratic method, it encourages deeper conceptual thinking and offers multilingual support to help students understand complex tasks such as word problems.
  • Expanded algorithmic assessment provides topic-mapped questions for more precise assignments and greater flexibility.
  • New math readiness support combines diagnostic assessment with targeted remediation resources and AI Tutor integration to help students build the skills they need.
  • Data Lab activities use integrated datasets to give students practical experience in data interpretation and real-world application.
  • LearningCurve adaptive quizzing reinforces key concepts and supports retention through personalised practice.
  • Reorganised prebuilt courses streamline course setup and assignment flow for instructors.

Authors

  • Headshot of Gary W. Lewandowski, Jr.

    Gary W. Lewandowski, Jr.

    Gary W. Lewandowski, Jr. grew up in a suburb of Philadelphia and went on to receive his B.A. from Millersville University of Pennsylvania and then his Ph.D. in Social/Health Psychology from Stony Brook University. Gary is a husband, father, dog-owner, professor and former chair in the Department of Psychology at Monmouth University, and author of Stronger Than You Think: The 10 Blind Spots That Undermine Your Relationship...and How to See Past Them. He has published over 50 academic articles and book chapters, and given over 120 conference presentations (most co-authored with undergraduates). Dr. Lewandowskis research, writing, and public speaking focus on the self and relationships. His research also examines ways to improve research methods and statistics instruction. He is a nationally recognized teacher who the Princeton Review recognized among its Best 300 Professors from an initial list of 42,000. He has also won Distinguished Teaching Awards at Stony Brook University and at Monmouth, and had his Intimate Relationships course featured in a USA Today article. He has given a TEDx talk, Break-ups Dont Have to Leave You Broken, which has over 2 million views. Currently, Dr. Lewandowski writes the Psychology of Relationships blog on Psychology Today. His expertise and articles (150+ of them) have appeared in mass media outlets such as The New York Times, Wall Street Journal, Business Insider, The Washington Post, CNN, APA Monitor, WebMD, and Scientific American, and have been enjoyed by over 5 million readers.

  • Headshot of Kevin P. McIntyre

    Kevin P. McIntyre

    Kevin McIntyre earned a B.S. degree in Psychology from the University of Illinois at Urbana-Champaign and a Ph.D. in Social Psychology with a graduate minor in Research Methods and Statistics from Saint Louis University. He is currently a Professor of Psychology at Trinity University in San Antonio, Texas, where he primarily teaches courses in statistics and research methods, social psychology, and introductory psychology. He is the creator of OpenStatsLab.com, which is a resource for the teaching of statistics. McIntyre’s research focuses on how romantic relationships affect individuals’ perceptions of self and identity, and his research has been published in the Journal of Social and Personal Relationships, Self and Identity, and Personal Relationships. He co-edited a book entitled Interpersonal Relationships and the Self-Concept and his work has been supported by grants from the Association for Psychological Science and the Society for Personality and Social Psychology. In addition to his teaching and research, McIntyre has worked as a statistical consultant on a variety of medical, educational, and psychological research projects. He has also served as a statistical consultant in legal proceedings involving professional sports teams, international technology firms, and financial investment services. McIntyre was born in Naperville, Illinois, where he developed a lifelong interest in rooting for sports teams that have very little chance of winning. He is an avid golfer who once shot an even par round of 72. He currently lives in San Antonio, Texas, with his wife, Michele, and daughter, Isla, who are the loves of his life.

Table of Contents

Preface

Chapter 1: Why Statistics Are So Important
Chapter 2: Frequency Distributions and Visual Displays of Data
Chapter 3: Measures of Central Tendency & Variability
Chapter 4: Z-Scores and the Normal Curve
Chapter 5: Probability and the Distribution of Sample Means
Chapter 6: Introduction to Hypothesis Testing
Chapter 7: Hypothesis Testing with a Distribution of Sample Means
Chapter 8: Statistical Significance, Confidence Intervals, Effect Size, and Power
Chapter 9: Introduction to t-Tests: The Single Sample t-Test and t-Test for Dependent Means
Chapter 10: t-Test for Two Independent/Unrelated Samples
Chapter 11: One-Way Analysis of Variance (ANOVA)
Chapter 12: Repeated-Measures Analysis of Variance ( RM ANOVA)
Chapter 13: Factorial Analysis of Variance (ANOVA)
Chapter 14: Correlation
Chapter 15: Regression
Chapter 16: Chi-Square Tests

Appendix A: Mathematics Refresher
Appendix B: Where Does Data Come From? A Primer on Research Methods and Design
Appendix C: Statistical Tables

Glossary
Name Index
Subject Index

Product Updates

What’s New in Achieve

Summer 2026 Updates

  • AI Tutor in Achieve provides real-time guidance on foundational and current concepts without giving answers away. Using the Socratic method, it encourages deeper conceptual thinking and offers multilingual support to help students understand complex tasks such as word problems.
  • Expanded algorithmic assessment provides topic-mapped questions for more precise assignments and greater flexibility.
  • New math readiness support combines diagnostic assessment with targeted remediation resources and AI Tutor integration to help students build the skills they need.
  • Data Lab activities use integrated datasets to give students practical experience in data interpretation and real-world application.
  • LearningCurve adaptive quizzing reinforces key concepts and supports retention through personalised practice.
  • Reorganised prebuilt courses streamline course setup and assignment flow for instructors.

From statistical anxiety to statistical confidence

Help students overcome maths anxiety and build essential statistical skills with Statistics for Research and Life. Gary Lewandowski and Kevin McIntyre use a distinctive two-part approach in each chapter, introducing core concepts through engaging real-world questions before moving into more rigorous, in-depth scenarios.

The updated Achieve course provides a flexible, supportive learning experience for students with varying levels of maths preparedness, combining assessment with targeted remediation and opportunities to interpret and apply real datasets. Enhanced course organisation and integrated learning tools provide additional support as students develop their statistical understanding.

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Gary Lewandowski Jr.; Kevin McIntyre | First Edition | ©2024 | ISBN:9781319468521

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