John Wiley & Sons The Coffee Bean for Kids Cover From the bestselling authors of The Coffee Bean, inspire and encourage children with this transforma.. Product #: 978-1-119-76271-3 Regular price: $15.79 $15.79 Auf Lager

The Coffee Bean for Kids

A Simple Lesson to Create Positive Change

Gordon, Jon / West, Damon

Jon Gordon

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1. Auflage Januar 2021
48 Seiten, Hardcover
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ISBN: 978-1-119-76271-3
John Wiley & Sons

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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
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.