JON GORDON has inspired millions of readers around the world. He is the author of 23 books, including ten bestsellers: The Energy Bus, The Carpenter, Training Camp, You Win in the Locker Room First, The Power of Positive Leadership, The Power of a Positive Team, The Coffee Bean, Stay Positive, The Garden, and Relationship Grit. He is passionate about developing positive leaders, organizations, and teams.

DAMON WEST is a keynote speaker, college professor, coauthor of the bestselling book, The Coffee Bean, and author of his memoir, The Change Agent. His coffee bean lessons have been shared with schools all over America, college and professional athletes, Walmart, the United States Army, and countless others. Damon is passionate about the coffee bean message and loves sharing how it changed his life and how it can change yours, too.

From the bestselling authors of The Coffee Bean, inspire and encourage children with this transformative tale of personal strength
The Coffee Bean for Kids tells the inspiring story of Gavin, a young boy with the difficult task of starting school in a new town. Gavin's teacher, Mrs. Spring, teaches him the story of the carrot, the egg, and the coffee bean. The environments we find ourselves in, like a pot of boiling, hot water, can change, weaken, or harden us, and test who we truly are. We can be like the carrot that weakens in the pot or like the egg that hardens. Or, we can be like the coffee bean and discover the power inside us to transform our environment. Energized by his teacher's lesson, Gavin embarks on an enlightening journey to transform the world around him.
In The Coffee Bean for Kids, authors Jon Gordon and Damon West offer lessons to children to help them:
* Impact the environment around them
* Improve their own outlook
* Become a leader who creates positive change
* Make new friends
* Become a positive influence by sharing smiles, kindness, and positive energy
Perfect for parents, teachers, and children who wish to overcome negativity and challenging situations, The Coffee Bean for Kids teaches readers about the potential that each one of us has to lead, influence, and make a positive impact on others and the world.

1 Introduction 00
1.1 Statistics and Types of Statistics 00
Case Study 1-1: Deaths Due to Red-Light Running 00
Case Study 1-2: Is Anxiety and Depression a Major Problem
Among Teens? 00
1.2 Basic Terms 00
1.3 Types of Variables 00
1.4 Cross-Section Versus Time-Series Data 00
1.5 Population Versus Sample 00
1.6 Design of Experiments 00
1.7 Summation Notation 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
2 Organizing and Graphing Data 00
2.1 Organizing and Graphing Qualitative Data 00
Case Study 2-1: Confidence in Charitable and
Nongovernmental Organizations 00
Case Study 2-2: Single-Payer Health Care System Where
the Federal Government Provides Coverage for
Everyone 00
2.2 Organizing and Graphing Quantitative Data 00
Case Study 2-3: Average Starting Salaries of Teachers 00
Case Study 2-4: Mom, I Am Hungry 00
Case Study 2-5: How Many Cups of Coffee Do You Drink
a Day? 00
2.3 Stem-and-Leaf Displays 00
2.4 Dotplots 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
3 Numerical Descriptive
Measures 00
3.1 Measures of Center for Ungrouped Data 00
Case Study 3-1: Coffee Consumption Statistics 00
Case Study 3-2: Median Prices of Homes in Selected
Metro Areas 00
3.2 Measures of Dispersion for Ungrouped Data 00
3.3 Mean, Variance, and Standard Deviation for
Grouped Data 00
3.4 Use of Standard Deviation 00
Case Study 3-3: Does Spread Mean the Same as Variability
and Dispersion? 00
3.5 Measures of Position 00
3.6 Box-and-Whisker Plot 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Appendix 3.1 / Self-Review Test /
Mini-Projects / Decide for Yourself / Technology
Instructions / Technology Assignments
4 Probability 00
4.1 Experiment, Outcome, and Sample Space 00
4.2 Calculating Probability 00
4.3 Marginal Probability, Conditional Probability, and
Related Probability Concepts 00
Case Study 4-1: Vegetarians, Gender, and Ideology 00
4.4 Intersection of Events and the Multiplication
Rule 00
4.5 Union of Events and the Addition Rule 00
4.6 Counting Rule, Factorials, Combinations, and
Permutations 00
Case Study 4-2: Probability of Winning a Mega Millions
Lottery Jackpot 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions /
Technology Assignments
5 Discrete Random Variables and
Their Probability Distributions 00
5.1 Random Variables 00
5.2 Probability Distribution of a Discrete Random
Variable 00
5.3 Mean and Standard Deviation of a Discrete Random
Variable 00
Case Study 5-1: All State Lottery 00
5.4 The Binomial Probability Distribution 00
5.5 The Hypergeometric Probability Distribution 00
5.6 The Poisson Probability Distribution 00
Case Study 5-2: Global Birth and Death Rates 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions /
Technology Assignments
Continuous Random Variables and
the Normal Distribution 00
6.1 Continuous Probability Distribution and the
Normal Probability Distribution 00
Case Study 6-1: Distribution of Time Taken to Run a
Road Race 00
6.2 Standardizing a Normal Distribution 00
6.3 Applications of the Normal Distribution 00
6.4 Determining the z and x Values When an Area Under
the Normal Distribution Curve Is Known 00
6.5 The Normal Approximation to the Binomial
Distribution 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Appendix 6.1 / Self-Review Test /
Mini-Projects / Decide for Yourself / Technology
Instructions / Technology Assignments
7 Sampling Distributions 00
7.1 Sampling Distribution, Sampling Error, and
Nonsampling Errors 00
7.2 Mean and Standard Deviation of _
x 00
7.3 Shape of the Sampling Distribution of _
x 00
7.4 Applications of the Sampling Distribution of _
x 00
7.5 Population and Sample Proportions; and the Mean,
Standard Deviation, and Shape of the Sampling
Distribution of p 00
Case Study 7-1: 2016 Election and Sampling Error 00
7.6 Applications of the Sampling Distribution of p 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
8 Estimation of the Mean and
Proportion 00
8.1 Estimation, Point Estimate, and Interval
Estimate 00
8.2 Estimation of a Population Mean: sigma Known 00
Case Study 8-1: 2019 National Average Salaries of
Doctors 00
8.3 Estimation of a Population Mean: sigma Not Known 00
8.4 Estimation of a Population Proportion: Large
Samples 00
Case Study 8-2: Is Government, Poor Leadership, or
Politicians the Most Important Problem Facing
U.S.? 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
9 Hypothesis Tests About the Mean
and Proportion 00
9.1 Hypothesis Tests: An Introduction 00
9.2 Hypothesis Tests About mu: sigma Known 00
Case Study 9-1: Average Student Loan Debt for the Class of
2018 00
9.3 Hypothesis Tests About mu: sigma Not Known 00
9.4 Hypothesis Tests About a Population Proportion:
Large Samples 00
Case Study 9-2: Are Parents Doing Too Much for Their Adult
Children? 00
Uses and Misuses / Glossary / Supplementary Exercises
/ Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
10 Estimation and Hypothesis Testing:
Two Populations 00
10.1 Inferences About the Difference Between Two
Population Means for Independent Samples: sigma1
and
sigma2
Known 00
10.2 Inferences About the Difference Between Two
Population Means for Independent Samples: sigma1
and
sigma2
Unknown but Equal 00
10.3 Inferences About the Difference Between Two
Population Means for Independent Samples: sigma1
and
sigma2
Unknown and Unequal 00
10.4 Inferences About the Mean of Paired Samples
(Dependent Samples) 00
10.5 Inferences About the Difference Between Two
Population Proportions for Large and Independent
Samples 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
11 Chi-Square Tests 00
11.1 The Chi-Square Distribution 00
11.2 A Goodness-of-Fit Test 00
Case Study 11-1: How Are the Economic Conditions in the
Country Affecting the Middle Class? 00
11.3 A Test of Independence or Homogeneity 00
11.4 Inferences About the Population Variance 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
12 Analysis of Variance 00
12.1 The F Distribution 00
12.2 One-Way Analysis of Variance 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
13 Simple Linear Regression 00
13.1 Simple Linear Regression 00
Case Study 13-1: Regression of Weights on Heights for
NFL Players 00
13.2 Standard Deviation of Errors and Coefficient of
Determination 00
13.3 Inferences About B 00
13.4 Linear Correlation 00
13.5 Regression Analysis: A Complete Example 00
13.6 Using the Regression Model 00
Uses and Misuses / Glossary / Supplementary Exercises /
Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
14 Multiple Regression
This chapter is not included in this text but is available in
the digital textbook in WileyPLUS or from www.wiley.com/
college/mann.
14.1 Multiple Regression Analysis 00
14.2 Assumptions of the Multiple Regression Model 00
14.3 Standard Deviation of Errors 00
14.4 Coefficient of Multiple Determination 00
14.5 Computer Solution of Multiple Regression 00
Uses and Misuses / Self-Review Test / Mini-Projects / Decide
for Yourself / Technology Instructions
15 Nonparametric Methods
This chapter is not included in this text but is available in
the digital textbook in WileyPLUS or from www.wiley.com/
college/mann.
15.1 The Sign Test 00
15.2 The Wilcoxon Signed-Rank Test for Two Dependent
Samples 00
15.3 The Wilcoxon Rank Sum Test for Two Independent
Samples 00
15.4 The Kruskal-Wallis Test 00
15.5 The Spearman Rho Rank Correlation Coefficient
Test 00
15.6 The Runs Test for Randomness 00
Uses and Misuses / Glossary / Supplementary Exercises
/ Advanced Exercises / Self-Review Test / Mini-Projects /
Decide for Yourself / Technology Instructions / Technology
Assignments
APPENDIX A Explanation of Data Sets A-1
APPENDIX B Statistical Tables B-1
ANSWERS TO SELECTED ODD-NUMBERED EXERCISES AN-1
SELF-REVIEW TESTS SR-1
INDEX I-1