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Written in an accessible and clear manner, Straightforward Statistics with Excel® 2e by Chieh-Chen Bowen helps students across the social and behavioral sciences gradually build their skills to develop a better understanding of the world around them. Each chapter purposefully connects with the previous chapter for a gradual accrual of knowledge from simple to more complex concepts. This effective, cumulative approach to statistics through logical transitions eases students into statistics and prepares them for success in more advanced quantitative coursework and their own research. The second edition now features Excel instructions and exercises throughout so students can use this widely-available and applied software for statistics.

This book is designed to walk the reader through statistics at a steady but gentle pace, providing pop quizzes throughout every chapter so readers can check their knowledge along the way. By gradually stepping up difficulty in each chapter, students generate a solid foundation and are prepared for the next chapters. Straightforward Statistics with Excel looks at the big picture so that the basic statistical concepts connect to everyday and relevant research examples in multiple ways. Throughout the book the reader is reminded of what they need to be able to recall with "You Must Remember This" boxes.  A rich source of practical resources are located at the end of chapters beginning with " What You Learned," followed by three sets of exercises so students can immediately apply their knowledge.

The new edition features a reorganized presentation of material, starting with measures of central tendency, separating this from measures of variability so students better understand the differences. A more thorough presentation of one-sample and dependent samples t-tests gives students a stronger foundation in these crucial tests in statistics. New examples and studies complete the update, with a focus on simplicity. Throughout, the book makes use of Excel instructions and screenshots so students can take statistics with them through research projects and into the world beyond academia.


 
Preface
 
Acknowledgments
 
About the Author
 
Chapter 1. Introduction to Statistics
What Is Statistics?

 
Random Sampling Methods

 
Scales of Measurement

 
Variable Classifications

 
Required Mathematical Skills for This Course

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 2. Summarizing, Organizing Data, and Measures of Central Tendency
What You Know and What Is New

 
Frequency Distribution Table

 
Graphs

 
Common Distribution Shapes

 
Measures of Central Tendency

 
Excel Step-by-Step Instruction for Calculating SX From a Frequency Table and Constructing a Bar Graph and a Histogram

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 3. Measures of Variability
What You Know and What Is New

 
Measures of Variability

 
Discover the Hidden Functions in Excel: Analysis Toolpak Installation Instructions

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 4. Standard Z Scores
What You Know

 
What Is New

 
Standard Z Scores

 
Empirical Rule for Variables With a Normal Distribution

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 5. Basic Principles of Probability
What You Know and What Is New

 
Basic Terms and Mathematical Operations in Probability

 
Linkage Between Probability and Z Score in a Normal Distribution

 
Probabilities, Z Scores, and Raw Scores

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 6. The Central Limit Theorem
What You Know and What Is New

 
Sampling Error

 
Sampling Distribution of the Sample Means and the Central Limit Theorem

 
Relationships Between Sample Means and the Population Mean

 
The Law of Large Numbers

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 7. Hypothesis Testing
What You Know and What Is New

 
Type I Error and Type II Error

 
The Four-Step Procedure to Conduct a Hypothesis Test

 
Further Discussions on Directional Versus Nondirectional Hypothesis Tests

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 8. One-Sample t Test and Dependent-Sample t Test
What You Know and What Is New

 
The Unknown s and Conducting the One-Sample t Test

 
The t Distribution With a Specific Curve for Every Degree of Freedom

 
The Four-Step Hypothesis Test in One-Sample t Tests

 
Confidence Intervals in One-Sample t Tests

 
Introducing Dependent-Sample t Tests

 
Calculations and the Hypothesis Testing Process in Dependent-Sample t Tests

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 9. Independent-Samples t Tests
What You Know and What Is New

 
Introducing Independent Samples and the Decision Rules on Equal Variances

 
Decision Rules for Equal Variances Assumed Versus Equal Variances Not Assumed

 
Confidence Intervals of the Mean Differences

 
Effect Sizes

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 10. Correlation
What You Know and What Is New

 
Pearson’s Correlation

 
Hypothesis Testing for Pearson’s Correlation

 
Interpretations and Assumptions of Pearson’s Correlation

 
Partial Correlation

 
Excel Step-by-Step Instruction for Constructing a Scatterplot

 
Excel Step-by-Step Instruction for Calculating Pearson’s r

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 11. Simple Regression
What You Know and What Is New

 
Y-Intercept and Slope

 
Hypothesis Testing for Simple Regression

 
Statistical Assumptions for Simple Regression

 
Step-by-Step Instructions of Simple Regression in Excel

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 12. One-Way Analysis of Variance
What You Know and What Is New

 
Introducing One-Way ANOVA

 
Between-Group Variance and Within-Group Variance

 
Hypothesis Testing for One-Way ANOVA

 
Effect Size for One-Way ANOVA

 
Step-by-Step Instructions for Using Excel to Run an ANOVA

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Chapter 13. Chi-Square Tests for Goodness of Fit and Independence
What You Know and What Is New

 
The Chi-Square

 
Expected Frequency

 
Goodness-of-Fit Tests

 
Chi-Square for Independence Test

 
Exercise Problems

 
Chapter Resources

 
What You Learned

 
Key Words

 
Learning Assessment

 
 
Appendix A. The Standard Normal Distribution Table (Z Table)
 
Appendix B. The t-Distribution Table (t Table)
 
Appendix C. The F Table
 
Appendix D. The Critical Values of Pearson’s Correlation Table (r Table)
 
Appendix E. The Critical Values for the Chi-Square Tests (?2 Table)
 
Answers to the Learning Assessments
 
Glossary
 
References
 
Index

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It does not seem like a very contemporary approach to statistics in 2023.

Mr Thomas Simpson
Educational Foundations, Piedmont Technical College
April 11, 2023
Key features

NEW TO THIS EDITION:

  • Reorganization of Descriptive Statistics spends more time laying out these foundational concepts for students.
  • Combined One Sample t-Tests and Dependent Samples t-Tests emphasize the similarities and differences between these tests, allowing students to better decide which test to use.
  • New Exercise Problems and Solutions with Excel Step-by-Step Instructions guide students through applying their knowledge to find answers.


KEY FEATURES:

  • Chapter-opening Learning Objectives clearly identify what students should be able to accomplish after reading and studying each chapter.
  • What You Know and What is New sections connect foundational concepts learned in previous chapters with new material for a logical buildup of learning.
  • Pop Quizzes with answers throughout chapters allow students to test their knowledge about topics presented.
  • Example Boxes show worked problems using simple examples so students see multiple ways to apply their knowledge.
  • Chapter Resources at the end of chapters provide tools including key terms and definitions, along with practice questions for easy review of the material.
  • Current, relevant, and diverse examples throughout show the application of statistics to meaningful real-life situations.

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