Wayne L. Winston

Analytics Stories (eBook, PDF)

Using Data to Make Good Things Happen

• Format: PDF

Produktbeschreibung

Inform your own analyses by seeing how one of the best data analysts in the world approaches analytics problems Analytics Stories: How to Make Good Things Happen is a thoughtful, incisive, and entertaining exploration of the application of analytics to real-world problems and situations. Covering fields as diverse as sports, finance, politics, healthcare, and business, Analytics Stories bridges the gap between the oft inscrutable world of data analytics and the concrete problems it solves. Distinguished professor and author Wayne L. Winston answers questions like: * Was Liverpool over Barcelona the greatest upset in sports history? * Was Derek Jeter a great infielder * What's wrong with the NFL QB rating? * How did Madoff keep his fund going? * Does a mutual fund's past performance predict future performance? * What caused the Crash of 2008? * Can we predict where crimes are likely to occur? * Is the lot of the American worker improving? * How can analytics save the US Republic? * The birth of evidence-based medicine: How did James Lind know citrus fruits cured scurvy? * How can I objectively compare hospitals? * How can we predict heart attacks in real time? * How does a retail store know if you're pregnant? * How can I use A/B testing to improve sales from my website? * How can analytics help me write a hit song? Perfect for anyone with the word "analyst" in their job title, Analytics Stories illuminates the process of applying analytic principles to practical problems and highlights the potential pitfalls that await careless analysts.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 528
• Erscheinungstermin: 2. September 2020
• Englisch
• ISBN-13: 9781119646051
• Artikelnr.: 60113292

Autorenporträt

Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University. He currently teaches Sports Analytics at IU, and has taught analytics to organizations including Microsoft, eBay, Cisco, Deloitte, the U.S. military, Eli Lilly, JP Morgan, and more. A two-time Jeopardy! Champion, he has consulted on analytics for two top NBA teams.

Inhaltsangabe

Introduction xxvii

Part I What Happened? 1

Chapter 1 Preliminaries 3

Basic Concepts in Data Analysis 3

What Is a Random Variable? 9

Excel Calculations 13

Chapter 2 Was the 1969 Draft Lottery Fair? 17

The Data 17

The Analysis 18

Excel Calculations 20

Chapter 3 Who Won the 2000 Election: Bush or Gore? 23

Projecting the Undervotes 24

What Happened with the Overvotes? 25

The Butterfl y Did It! 25

Excel Calculations 28

Chapter 4 Was Liverpool Over Barcelona the Greatest Upset in Sports History? 31

How Should We Rank Upsets? 31

Leicester Wins the 2015-2016 Premier League 32

#16 Seed UMBC Beats #1 Seed Virginia 33

The Jets Win Super Bowl III 33

Other Big Upsets 34

Chapter 5 How Did Bernie Madoff Keep His Fund Going? 35

The Mathematics of Ponzi Schemes 36

Madoff's Purported Strategy 37

The Sharpe Ratio Proves Madoff Was a Fraud 39

Benford's Law and Madoff's Fraud 40

Excel Calculations 41

Chapter 6 Is the Lot of the American Worker Improving? 45

Is U.S. Family Income Skewed? 45

Median Income and Politics 46

Causes of Increasing U.S. Income Inequality 48

Money Isn't Everything: The Human

Development Index 50

Create Your Own Ranking of Well-Being 50

Are Other Countries Catching Up to the U.S.? 51

Excel Calculations 52

Chapter 7 Measuring Income Inequality with the Gini, Palm, and Atkinson Indices 53

The Gini Index 53

The Palma Index 56

The Atkinson Index 57

Excel Calculations 59

Chapter 8 Modeling Relationships Between Two Variables 61

Examples of Relationships Between Two Variables 61

Finding the Best-Fitting (Least Squares) Line 62

Computing the Beta of a Stock 63

What Is a Good R2? 64

Correlation and R2 65

We are Not Living in a Linear World 67

Excel Calculations 69

Chapter 9 Intergenerational Mobility 73

Absolute Intergenerational Mobility 74

Intergenerational Elasticity 74

Rank-Rank Mobility 75

Comparing IGE and Rank-Rank Mobility 75

Measuring Mobility with Quintiles 78

The Great Gatsby Curve 80

Excel Calculations 82

Chapter 10 Is Anderson Elementary School a Bad School? 85

How Can We Adjust for Family Income? 86

Estimating the Least Squares Line 86

Can We Compare Standardized Test Performance for Students in Different States? 86

Excel Calculations 87

Chapter 11 Value-Added Assessments of Teacher Effectiveness 89

Simple Gain Score Assessment 90

Covariate Adjustment Assessment 91

Layered Assessment Model 91

Cross-Classified Constant Growth Assessment 91

Problems with VAA 93

How Much Is a Good Teacher Worth? 94

Excel Calculations 95

Chapter 12 Berkeley, Buses, Cars, and Planes 97

Simpson's Paradox and College Admissions 98

The Waiting Time Paradox 100

When Is the Average of 40 and 80 Not 60? 100

Why Pre COVID Were There Never Empty

Seats on My Flight? 101

Excel Calculations 101

Chapter 13 Is Carmelo Anthony a Hall of Famer? 103

What Metric Defines Basketball Ability? 104

Wins Above Replacement Player (WARP) 105

Manu, Melo, Dirk, and Dwayne 106

How Do 25,000 Points Lead to So Few Wins? 106