The Coffee Bean for Kids : A Simple Lesson to Create Positive Change
The Coffee Bean for Kids : A Simple Lesson to Create Positive Change
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Author(s): Gordon, Jon
ISBN No.: 9781119762713
Pages: 48
Year: 202101
Format: Trade Cloth (Hard Cover)
Price: $ 27.70
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

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: σ Known 00 Case Study 8-1: 2019 National Average Salaries of Doctors 00 8.3 Estimation of a Population Mean: σ 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 μ: σ Known 00 Case Study 9-1: Average Student Loan Debt for the Class of 2018 00 9.3 Hypothesis Tests About μ: σ 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: σ1 and σ2 Known 00 10.2 Inferences About the Difference Between Two Population Means for Independent Samples: σ1 and σ2 Unknown but Equal 00 10.3 Inferences About the Difference Between Two Population Means for Independent Samples: σ1 and σ2 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.wil.


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