The Coffee Bean for Kids: A Simple Lesson to Create Positive Change

ISBN-13: 9781119762713 / Angielski / Twarda / 2020 / 48 str.

Damon West

Spis treści

1 Introduction 001.1 Statistics and Types of Statistics 00Case Study 1-1: Deaths Due to Red-Light Running 00Case Study 1-2: Is Anxiety and Depression a Major ProblemAmong Teens? 001.2 Basic Terms 001.3 Types of Variables 001.4 Cross-Section Versus Time-Series Data 001.5 Population Versus Sample 001.6 Design of Experiments 001.7 Summation Notation 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments2 Organizing and Graphing Data 002.1 Organizing and Graphing Qualitative Data 00Case Study 2-1: Confidence in Charitable andNongovernmental Organizations 00Case Study 2-2: Single-Payer Health Care System Wherethe Federal Government Provides Coverage forEveryone 002.2 Organizing and Graphing Quantitative Data 00Case Study 2-3: Average Starting Salaries of Teachers 00Case Study 2-4: Mom, I Am Hungry 00Case Study 2-5: How Many Cups of Coffee Do You Drinka Day? 002.3 Stem-and-Leaf Displays 002.4 Dotplots 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments3 Numerical DescriptiveMeasures 003.1 Measures of Center for Ungrouped Data 00Case Study 3-1: Coffee Consumption Statistics 00Case Study 3-2: Median Prices of Homes in SelectedMetro Areas 003.2 Measures of Dispersion for Ungrouped Data 003.3 Mean, Variance, and Standard Deviation forGrouped Data 003.4 Use of Standard Deviation 00Case Study 3-3: Does Spread Mean the Same as Variabilityand Dispersion? 003.5 Measures of Position 003.6 Box-and-Whisker Plot 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Appendix 3.1 / Self-Review Test /Mini-Projects / Decide for Yourself / TechnologyInstructions / Technology Assignments4 Probability 004.1 Experiment, Outcome, and Sample Space 004.2 Calculating Probability 004.3 Marginal Probability, Conditional Probability, andRelated Probability Concepts 00Case Study 4-1: Vegetarians, Gender, and Ideology 004.4 Intersection of Events and the MultiplicationRule 004.5 Union of Events and the Addition Rule 004.6 Counting Rule, Factorials, Combinations, andPermutations 00Case Study 4-2: Probability of Winning a Mega MillionsLottery Jackpot 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions /Technology Assignments5 Discrete Random Variables andTheir Probability Distributions 005.1 Random Variables 005.2 Probability Distribution of a Discrete RandomVariable 005.3 Mean and Standard Deviation of a Discrete RandomVariable 00Case Study 5-1: All State Lottery 005.4 The Binomial Probability Distribution 005.5 The Hypergeometric Probability Distribution 005.6 The Poisson Probability Distribution 00Case Study 5-2: Global Birth and Death Rates 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions /Technology AssignmentsContinuous Random Variables andthe Normal Distribution 006.1 Continuous Probability Distribution and theNormal Probability Distribution 00Case Study 6-1: Distribution of Time Taken to Run aRoad Race 006.2 Standardizing a Normal Distribution 006.3 Applications of the Normal Distribution 006.4 Determining the z and x Values When an Area Underthe Normal Distribution Curve Is Known 006.5 The Normal Approximation to the BinomialDistribution 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Appendix 6.1 / Self-Review Test /Mini-Projects / Decide for Yourself / TechnologyInstructions / Technology Assignments7 Sampling Distributions 007.1 Sampling Distribution, Sampling Error, andNonsampling Errors 007.2 Mean and Standard Deviation of _x 007.3 Shape of the Sampling Distribution of _x 007.4 Applications of the Sampling Distribution of _x 007.5 Population and Sample Proportions; and the Mean,Standard Deviation, and Shape of the SamplingDistribution of p 00Case Study 7-1: 2016 Election and Sampling Error 007.6 Applications of the Sampling Distribution of p 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments8 Estimation of the Mean andProportion 008.1 Estimation, Point Estimate, and IntervalEstimate 008.2 Estimation of a Population Mean: sigma Known 00Case Study 8-1: 2019 National Average Salaries ofDoctors 008.3 Estimation of a Population Mean: sigma Not Known 008.4 Estimation of a Population Proportion: LargeSamples 00Case Study 8-2: Is Government, Poor Leadership, orPoliticians the Most Important Problem FacingU.S.? 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments9 Hypothesis Tests About the Meanand Proportion 009.1 Hypothesis Tests: An Introduction 009.2 Hypothesis Tests About mu: sigma Known 00Case Study 9-1: Average Student Loan Debt for the Class of2018 009.3 Hypothesis Tests About mu: sigma Not Known 009.4 Hypothesis Tests About a Population Proportion:Large Samples 00Case Study 9-2: Are Parents Doing Too Much for Their AdultChildren? 00Uses and Misuses / Glossary / Supplementary Exercises/ Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments10 Estimation and Hypothesis Testing:Two Populations 0010.1 Inferences About the Difference Between TwoPopulation Means for Independent Samples: sigma1andsigma2Known 0010.2 Inferences About the Difference Between TwoPopulation Means for Independent Samples: sigma1andsigma2Unknown but Equal 0010.3 Inferences About the Difference Between TwoPopulation Means for Independent Samples: sigma1andsigma2Unknown and Unequal 0010.4 Inferences About the Mean of Paired Samples(Dependent Samples) 0010.5 Inferences About the Difference Between TwoPopulation Proportions for Large and IndependentSamples 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments11 Chi-Square Tests 0011.1 The Chi-Square Distribution 0011.2 A Goodness-of-Fit Test 00Case Study 11-1: How Are the Economic Conditions in theCountry Affecting the Middle Class? 0011.3 A Test of Independence or Homogeneity 0011.4 Inferences About the Population Variance 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments12 Analysis of Variance 0012.1 The F Distribution 0012.2 One-Way Analysis of Variance 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments13 Simple Linear Regression 0013.1 Simple Linear Regression 00Case Study 13-1: Regression of Weights on Heights forNFL Players 0013.2 Standard Deviation of Errors and Coefficient ofDetermination 0013.3 Inferences About B 0013.4 Linear Correlation 0013.5 Regression Analysis: A Complete Example 0013.6 Using the Regression Model 00Uses and Misuses / Glossary / Supplementary Exercises /Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignments14 Multiple RegressionThis chapter is not included in this text but is available inthe digital textbook in WileyPLUS or from www.wiley.com/college/mann.14.1 Multiple Regression Analysis 0014.2 Assumptions of the Multiple Regression Model 0014.3 Standard Deviation of Errors 0014.4 Coefficient of Multiple Determination 0014.5 Computer Solution of Multiple Regression 00Uses and Misuses / Self-Review Test / Mini-Projects / Decidefor Yourself / Technology Instructions15 Nonparametric MethodsThis chapter is not included in this text but is available inthe digital textbook in WileyPLUS or from www.wiley.com/college/mann.15.1 The Sign Test 0015.2 The Wilcoxon Signed-Rank Test for Two DependentSamples 0015.3 The Wilcoxon Rank Sum Test for Two IndependentSamples 0015.4 The Kruskal-Wallis Test 0015.5 The Spearman Rho Rank Correlation CoefficientTest 0015.6 The Runs Test for Randomness 00Uses and Misuses / Glossary / Supplementary Exercises/ Advanced Exercises / Self-Review Test / Mini-Projects /Decide for Yourself / Technology Instructions / TechnologyAssignmentsAPPENDIX A Explanation of Data Sets A-1APPENDIX B Statistical Tables B-1ANSWERS TO SELECTED ODD-NUMBERED EXERCISES AN-1SELF-REVIEW TESTS SR-1INDEX I-1

O autorze

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.