GET FREE SHIPPING!
Use Promo Code SHIPFREE at Step 4 of checkout.
*Free Shipping only applicable to US orders. Restrictions apply.
Statistics for Research and Life
First Edition©2024 Gary Lewandowski Jr.; Kevin McIntyre
ISBN:9781319456115
Online course materials that will help you in this class. Includes access to e-book and iClicker Student.
ISBN:9781319468552
Take notes, add highlights, and download our mobile-friendly e-books.
ISBN:9781319569891
This package includes Achieve and Loose-Leaf.
Achieve for Behavioral Statistics is designed to help you build confidence and succeed in your stats course—no matter your starting point. With step-by-step support, interactive activities, and plenty of practice, you’ll learn not just how to calculate statistics, but how to understand and apply them.
You’ll get targeted help right when you need it, including math readiness support, AI-powered tutoring, and adaptive quizzes that adjust to your progress. Interactive tools and real-world data activities make it easier to visualize concepts and see how statistics connect to real life.
With flexible practice, instant feedback, and engaging assignments, Achieve helps you stay on track, improve your skills, and feel more confident throughout the course.
E-book
Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.
Learn MoreAchieve
Achieve is a single, easy-to-use platform proven to engage students for better course outcomes
Learn MoreTable 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
Canada