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An Introduction to Statistics
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An Introduction to Statistics
An Active Learning Approach

Third Edition


January 2021 | 512 pages | SAGE Publications, Inc
This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statistics. Carefully placed reading questions throughout each chapter allow students to apply their knowledge right away, while in-depth activities based on current behavioral science scenarios, each with problem sets and quiz questions, give students the opportunity to assess their understanding of concepts while reading detailed explanations of more complex statistical concepts. Additional practice problems further solidify student learning. Most activities are self-correcting, so if a concept is misunderstood, this misunderstanding is corrected early in the learning process. After working through each chapter, students are far more likely to understand the material than when they only read the material.

Watch a video from the authors on the new edition here! 
 
Preface
 
Acknowledgments
 
About the Authors
 
Part 1: Descriptive Statistics and Sampling Error
 
Chapter 1: Introduction to Statistics and Frequency Distributions
How to Be Successful in This Course

 
Math Skills Required in This Course

 
Statistical Software Options

 
Why Do You Have to Take Statistics?

 
The Four Pillars of Scientific Reasoning

 
Populations and Samples

 
Independent and Dependent Variables

 
Identify How a Variable Is Measured

 
Graphing Data

 
Shapes of Distributions

 
Frequency Distribution Tables

 
 
Chapter 2: Central Tendency and Variability
Frequency Distribution Graphs and Tables

 
Central Tendency: Choosing Mean, Median, or Mode

 
Computing Measures of Central Tendency

 
Variability: Range or Standard Deviation

 
Steps in Computing a Population’s Standard Deviation

 
Steps in Computing a Sample’s Standard Deviation

 
Constructing a Scientific Conclusion

 
 
Chapter 3: z scores
Computing and Interpreting z for a Raw Score

 
Finding Raw Score “Cut Lines”

 
Finding the Probability of z Scores Using the Standard Normal Curve

 
Positive z Score Example

 
Negative z Score Example

 
Proportion Between Two z Scores Example

 
 
Chapter 4: Sampling Error and Confidence Intervals with z and t Distributions
Sampling and Sampling Error

 
The Central Limit Theorem and the Standard Error of the Mean (SEM)

 
Applying the SEM to Find Statistical Evidence

 
 
Part 2: Applying the Four Pillars of Scientific Reasoning to Mean Differences
 
Chapter 5: Single sample t, effect sizes, and confidence intervals
Four Pillars of Scientific Reasoning

 
Apply the Four Pillars of Scientific Reasoning

 
Construct a Well-Supported Scientific Conclusion

 
 
Chapter 6: Related samples t, effect sizes, and confidence intervals
Related Samples t Test

 
Logic of the Single Sample and Related Samples t Tests

 
Apply the Four Pillars of Scientific Reasoning

 
Construct a Well-Supported Scientific Conclusion

 
 
Chapter 7: Independent samples t, effect sizes, and confidence intervals
When to Use the Three t Tests

 
The t Test Logic and the Independent Samples t Formula

 
Apply the Four Pillars of Scientific Reasoning

 
Construct a Well-Supported Scientific Conclusion

 
How to Interpret High p Values

 
 
Chapter 8: One-way ANOVA, effect sizes, and confidence intervals
Independent Samples One-Way ANOVA

 
Logic of the ANOVA

 
Apply Four Pillars of Scientific Reasoning

 
 
Chapter 9: Two-way ANOVA, effect sizes, and confidence intervals
Purpose of Two-Way ANOVA

 
Logic of Two-Way ANOVA

 
Apply Four Pillars of Scientific Reasoning

 
 
Part 3: Applying the Four Pillars of Scientific Reasoning to Associations
 
Chapter 10: Correlations, effect sizes, and confidence intervals
When to Use Correlations

 
The Logic of Correlation

 
Interpreting Correlation Coefficients

 
Spearman’s (rs) Correlation

 
Correlation Does Not Equal Causation: True but Misleading

 
Apply the Four Pillars of Scientific Reasoning

 
Construct a Well-Supported Scientific Conclusion

 
 
Chapter 11: Chi square and effect sizes
When to Use X2 Statistics

 
Logic of the X2 Test

 
Apply the Pillars of Scientific Reasoning

 
Construct a Well-Supported Scientific Conclusion

 
Apply the Pillars of Scientific Reasoning: X2 for Independence

 
Appendices

 
References

 
Index

 

Supplements

Instructor Resource Site
edge.sagepub.com/carlson3e

For additional information, custom options, or to request a personalized walkthrough of these resources, please contact your sales representative.


LMS cartridge included with this title for use in Blackboard, Canvas, Brightspace by Desire2Learn (D2L), and Moodle

The LMS cartridge makes it easy to import this title’s instructor resources into your learning management system (LMS). These resources include:
  • Test bank
  • Editable chapter-specific PowerPoint® slides
  • Answers to the textbook’s Reading Questions
  • Answers to the textbook’s Activity Questions
  • Additional Practice Tests and Answers
  • All tables and figures from the textbook
Don’t use an LMS platform?

You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.
Student study site
edge.sagepub.com/carlson3e

For additional information, custom options, or to request a personalized walkthrough of these resources, please contact your sales representative.


LMS cartridge included with this title for use in Blackboard, Canvas, Brightspace by Desire2Learn (D2L), and Moodle

The LMS cartridge makes it easy to import this title’s instructor resources into your learning management system (LMS). These resources include:
  • Test bank
  • Editable chapter-specific PowerPoint® slides
  • Answers to the textbook’s Reading Questions
  • Answers to the textbook’s Activity Questions
  • Additional Practice Tests and Answers
  • All tables and figures from the textbook
Don’t use an LMS platform?

You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.

I like the way the author goes to great lengths to explain concepts in ways students should understand. I think this will also be easy for me to use in the classroom.

Dr Michele Ellis
School of Nursing, Loyola University-New Orleans
May 26, 2022

Kieth A. Carlson

Kieth A. Carlson received his PhD in Experimental Psychology with an emphasis in Cognitive Psychology from the University of Nebraska in 1996. He is currently Professor of Psychology at Valparaiso University. He has published research on visual attention, memory, student cynicism toward college, and active learning. He enjoys teaching a wide range of courses including statistics, research methods, sensation and perception, cognitive psychology, learning psychology, the philosophy of science, and the history of psychology. Dr. Carlson was twice honored with the Teaching Excellence Award from the United States Air Force Academy. More About Author

Jennifer R. Winquist

Jennifer R. Winquist is currently Professor of Psychology at Valparaiso University. Dr. Winquist received her PhD in Social Psychology from the University of Illinois at Chicago and her bachelor’s degree in Psychology from Purdue University. She has published research on self-focused attention, group decision making, distributive justice, and the scholarship of teaching and learning. Dr. Winquist regularly teaches courses in introductory and advanced statistics and research methods. More About Author

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ISBN: 9781544375090
$166.00