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E-raamat: Analytics Stories - Using Data to Make Good Things Happen: Using Data to Make Good Things Happen [Wiley Online]

  • Formaat: 528 pages
  • Ilmumisaeg: 26-Oct-2020
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119646065
  • ISBN-13: 9781119646068
  • Wiley Online
  • Hind: 37,01 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Formaat: 528 pages
  • Ilmumisaeg: 26-Oct-2020
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119646065
  • ISBN-13: 9781119646068

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.  

Introduction xxvii
Part I What Happened?
1(166)
Chapter 1 Preliminaries
3(14)
Basic Concepts in Data Analysis
3(6)
What Is a Random Variable?
9(4)
Excel Calculations
13(4)
Chapter 2 Was the 1969 Draft Lottery Fair?
17(1)
The Data
17(1)
The Analysis
18(2)
Excel Calculations
20
Chapter 3 Who Won the 2000 Election: Bush or Gore?
23(1)
Projecting the Undervotes
24(1)
What Happened with the Overvotes?
25(1)
The Butterfly Did It!
25(3)
Excel Calculations
28(3)
Chapter 4 Was Liverpool Over Barcelona the Greatest Upset in Sports History?
31(4)
How Should We Rank Upsets?
31(1)
Leicester Wins the 2015-2016 Premier League
32(1)
#16 Seed UMBC Beats #1 Seed Virginia
33(1)
The Jets Win Super Bowl III
33(1)
Other Big Upsets
34(1)
Chapter 5 How Did Bernie Madoff Keep His Fund Going?
35(10)
The Mathematics of Ponzi Schemes
36(1)
Madoff's Purported Strategy
37(2)
The Sharpe Ratio Proves Madoff Was a Fraud
39(1)
Benford's Law and Madoff's Fraud
40(1)
Excel Calculations
41(4)
Chapter 6 Is the Lot of the American Worker Improving?
45(8)
Is U.S. Family Income Skewed?
45(1)
Median Income and Politics
46(2)
Causes of Increasing U.S. Income Inequality
48(2)
Money Isn't Everything: The Human Development Index
50(1)
Create Your Own Ranking of Weil-Being
50(1)
Are Other Countries Catching Up to the U.S.?
51(1)
Excel Calculations
52(1)
Chapter 7 Measuring Income Inequality with the Gini, Palm, and Atkinson Indices
53(8)
The Gini Index
53(3)
The Palma Index
56(1)
The Atkinson Index
57(2)
Excel Calculations
59(2)
Chapter 8 Modeling Relationships Between Two Variables
61(12)
Examples of Relationships Between Two Variables
61(1)
Finding the Best-Fitting (Least Squares) Line
62(1)
Computing the Beta of a Stock
63(1)
What Is a Good R2?
64(1)
Correlation and R2
65(2)
We Are Not Living in a Linear World
67(2)
Excel Calculations
69(4)
Chapter 9 Intergenerational Mobility
73(12)
Absolute Intergenerational Mobility
74(1)
Intergenerational Elasticity
74(1)
Rank-Rank Mobility
75(1)
Comparing IGE and Rank-Rank Mobility
75(3)
Measuring Mobility with Quintiles
78(2)
The Great Gatsby Curve
80(2)
Excel Calculations
82(3)
Chapter 10 Is Anderson Elementary School a Bad School?
85(4)
How Can We Adjust for Family Income?
86(1)
Estimating the Least Squares Line
86(1)
Can We Compare Standardized Test Performance for Students in Different States?
86(1)
Excel Calculations
87(2)
Chapter 11 Value-Added Assessments of Teacher Effectiveness
89(8)
Simple Gain Score Assessment
90(1)
Covariate Adjustment Assessment
91(1)
Layered Assessment Model
91(1)
Cross-Classified Constant Growth Assessment
91(2)
Problems with VAA
93(1)
How Much Is a Good Teacher Worth?
94(1)
Excel Calculations
95(2)
Chapter 12 Berkeley, Buses, Cars, and Planes
97(6)
Simpson's Paradox and College Admissions
98(2)
The Waiting Time Paradox
100(1)
When Is the Average of 40 and 80 Not 60?
100(1)
Why Pre COVID Were There Never Empty Seats on My Flight?
101(1)
Excel Calculations
101(2)
Chapter 13 Is Carmelo Anthony a Hall of Famer?
103(6)
What Metric Defines Basketball Ability?
104(1)
Wins Above Replacement Player (WARP)
105(1)
Manu, Melo, Dirk, and Dwayne
106(1)
How Do 25,000 Points Lead to So Few Wins?
106(3)
Chapter 14 Was Derek Jeter a Great Fielder?
109(6)
Fielding Statistics: The First Hundred Years
109(1)
Range Factor
110(1)
The Fielding Bible: A Great Leap Forward
111(1)
The Next Frontier
112(3)
Chapter 15 "Drive for Show and Putt for Dough?"
115(2)
Strokes Gained
115(1)
The Myth Exposed
116(1)
Chapter 16 What's Wrong with the NFL QB Rating?
117(10)
NFL Quarterback Rating
117(7)
ESPN's Total Quarterback Rating
124(1)
Excel Calculations
125(2)
Chapter 17 Some Sports Have All the Luck
127(4)
Skill vs. Luck: The Key Idea
127(2)
The Results
129(2)
Chapter 18 Gerrymandering
131(12)
A Stylized Example
132(4)
The Mathematics of Gerrymandering
136(7)
Chapter 19 Evidence-Based Medicine
143(8)
James Lind and Scurvy: The Birth of Evidence-Based Medicine
143(2)
The Randomized Streptomycin Tuberculosis Trial
145(1)
Excel Calculations
146(2)
Hormone Replacement: Good or Bad?
148(3)
Chapter 20 How Do We Compare Hospitals?
151(8)
Ratings Criteria
152(4)
Conclusion
156(1)
Excel Calculations
157(2)
Chapter 21 What Is the Worst Health Care Problem in My Country?
159(8)
Disability-Adjusted Life Years
159(1)
Determination of Disability Weights
160(2)
To Age Weight or Discount, That Is the Question
162(1)
Key Facts About World Health
163(4)
Part II What Will Happen?
167(116)
Chapter 22 Does a Mutual Fund's Past Performance Predict Future Performance?
169(12)
Mutual Fund Basics
170(1)
Morningstar Ratings
170(1)
Risk-Adjusting Fund Returns
171(4)
How Well Do Morningstar Star Ratings Predict a Fund's Future Performance?
175(2)
The Effect of Expense Ratio on Long-Term Performance
177(1)
Excel Calculations
178(3)
Chapter 23 Is Vegas Good at Picking NFL Games?
181(10)
How NFL Betting Works
181(3)
Bias and Accuracy
184(1)
Vegas Forecasts Are Unbiased
185(3)
Totals Predictions and Money Line Predictions Are Unbiased
188(1)
NFL Accuracy: The Line vs. the Computers
188(1)
A System Works Until It Doesn't
189(2)
Chapter 24 Will My New Hires Be Good Employees?
191(8)
What Data Do We Need to Determine Attributes That Best Predict Employee Performance?
192(4)
Besides GMA, Not Much Affects Job Performance
196(1)
Excel Calculations
197(2)
Chapter 25 Should I Go to State U or Princeton?
199(4)
Analyzing Princeton vs. Penn State
200(2)
Excel Calculations
202(1)
Chapter 26 Will My Favorite Sports Team Be Great Next Year?
203(6)
Francis Galton and Regression to the Mean
203(1)
Regression to the Mean in the NFL and the NBA
204(3)
Excel Calculations
207(2)
Chapter 27 How Did Central Bankers Fail to Predict the 2008 Recession?
209(10)
The Inverted Yield Curve
210(1)
The Sahm Rule: Early Warning Signal for Recession
211(1)
Control Charts and the Housing Price/Rent Ratio
211(4)
Excel Calculations
215(4)
Chapter 28 How Does Target Know If You're Pregnant?
219(6)
What Available Data Can Be Used to Identify Pregnant Women?
220(1)
Problems Arise
220(1)
An Example of a Pregnancy Prediction Score
221(4)
Chapter 29 How Does Netflix Recommend Movies and TV Shows?
225(8)
User-Based Collaborative Filtering
226(3)
Item-Based Filtering
229(4)
Chapter 30 Can We Predict Heart Attacks in Real Time?
233(8)
Posterior Probability
234(1)
Sensitivity and Specificity
235(1)
ROC Curve
235(2)
Back to the Apple Heart Study
237(2)
AliveCor and KardiaBand
239(2)
Chapter 31 Is Proactive Policing Effective?
241(8)
Hot Spots Policing
242(1)
Predictive Policing
243(1)
CCTV
244(1)
Stop and Frisk
244(2)
Broken Windows
246(1)
Excel Calculations
247(2)
Chapter 32 Guess How Many Are Coming to Dinner?
249(10)
Which Parameters Must Be Estimated?
250(2)
The Data
252(1)
The Results
253(1)
Which Factor Really Matters?
254(1)
Excel Calculations
254(5)
Chapter 33 Can Prediction Markets Predict the Future?
259(6)
Examples of Trade Contracts
260(1)
Prediction Market Trading Mechanisms
261(1)
Accuracy of Prediction Markets and Wisdom of Crowds
262(3)
Chapter 34 The ABCs of Polling
265(8)
Why Are 1,112 People Enough to Represent U.S. Voters?
265(2)
Why Doesn't a Larger Population Require a Larger Sample Size?
267(1)
So, What Can Go Wrong?
268(3)
Rating Polls
271(2)
Chapter 35 How Did Buzzfeed Make the Dress Go Viral?
273(4)
Measuring Instagram Engagement
274(1)
Tweets Do Not Always Go Viral Immediately
274(1)
Do the First Few Days Predict the Future of a Meme?
275(2)
Chapter 36 Predicting Game of Thrones TV Ratings
277(6)
What Does Google Trends Tell Us?
277(1)
Predicting the Present with Google Trends
278(1)
Using Google Trends to Forecast GOT Ratings
279(2)
Excel Calculations
281(2)
Part III Why Did It Happened?
283(68)
Chapter 37 Does Smoking Cause Lung Cancer?
285(6)
Correlation and Causation Redux
285(1)
The Key Evidence
286(1)
Could Air Pollution Have Caused Lung Cancer?
287(1)
The Cigarette Companies Hit Back
287(1)
Excel Calculations
288(3)
Chapter 38 Why Are the Houston Rockets a Good Basketball Team?
291(6)
NBA Shooting Math 101
292(3)
Zach LaVine Battles the Bulls' Analytics Department
295(1)
Conclusion
296(1)
Excel Calculations
296(1)
Chapter 39 Why Have Sacrifice Bunts and Intentional Walks Nearly Disappeared?
297(4)
The Case Against Bunting
298(1)
Bunting Against the Shift
299(1)
Why Are Intentional Walks on the Decline?
300(1)
Chapter 40 Do NFL Teams Pass Too Much and Go for It Often Enough on Fourth Down?
301(6)
The Ascent of Passing
301(2)
Fourth Down Strategy
303(1)
New Data Partially Vindicates the Coaches
304(2)
Teams Should Go for Two More Often
306(1)
Chapter 41 What Caused the 1854 London Cholera Outbreak?
307(6)
Cholera
307(1)
Snow and the Broad Street Pump
308(2)
Snow's Randomized Controlled Trial
310(1)
Conclusion
311(1)
Excel Calculations
312(1)
Chapter 42 What Affects the Sales of a Retail Product?
313(6)
Painter's Tape
313(2)
Estimating the Model Parameters
315(1)
Excel Calculations
316(3)
Chapter 43 Why Does the Pareto Principle Explain So Many Things?
319(8)
Power Laws
320(2)
Why Do Incomes Follow the Pareto Principle?
322(1)
Why Do a Few Websites Get Most of the Hits?
323(1)
Excel Calculations
324(3)
Chapter 44 Does Where You Grow Up Matter?
327(6)
Quasi-Experimental Design vs. Randomized Controlled Trials
328(1)
What Drives Neighborhood Differences in Upward Mobility?
329(1)
How Can We Make Things Better?
330(3)
Chapter 45 The Waiting is the Hardest Part
333(6)
Which Factors Influence the Performance of a Queueing System?
334(1)
Operating Characteristics of a Queueing System
334(1)
How Does Variability Degrade the Performance of a Queueing System?
335(1)
Calculating the Operating Characteristics of a Queueing System
336(2)
Excel Calculations
338(1)
Chapter 46 Are Roundabouts a Good Idea?
339(8)
What Is a Roundabout?
340(1)
History of Roundabouts
340(1)
Benefits of Roundabouts
341(2)
Disadvantages of Roundabouts
343(1)
Roundabout Capacity
344(1)
Roundabouts and Revolutions
345(2)
Chapter 47 Red Light, Green Light, or No Light?
347(4)
What Causes Traffic Jams?
347(1)
How Should We Set the Lights?
348(1)
Ramp Meters and Equity
349(1)
Measuring the Impact of Ramp Meters
350(1)
The Twin Cities Metering Holiday
350(1)
Part IV How Do I Make Good Things Happen?
351(118)
Chapter 48 How Can We Improve K-12 Education?
353(10)
Tennessee's STAR Study on K-2 Class Size
355(1)
Cost-Benefit Analysis
356(4)
Can Predictive Analytics Increase Enrollment and Performance in Eighth-Grade Algebra I?
360(1)
Excel Calculations
360(3)
Chapter 49 Can A/B Testing Improve My Website's Performance?
363(6)
Improving Obama's Fundraising in 2008
364(1)
The Mechanics of Resampling
365(1)
Excel Calculations
366(3)
Chapter 50 How Should I Allocate My Retirement Portfolio?
369(8)
The Basic Portfolio Optimization Model
369(3)
The Efficient Frontier
372(2)
Difficulties in Implementing the Markowitz Model
374(1)
Excel Calculations
374(3)
Chapter 51 How Do Hedge Funds Work?
377(12)
Growth in Hedge Funds and Hedge Fund Fee Structure
378(1)
Shorting a Stock
378(1)
Long/Short and Market-Neutral Strategies
378(2)
Convertible Arbitrage
380(2)
Merger Arbitrage
382(1)
Global Macro Strategy
383(1)
Hedge Fund Performance
384(1)
The George Costanza Portfolio
384(1)
Excel Calculations
385(4)
Chapter 52 How Much Should We Order and When Should We Order?
389(8)
The Economic Order Quantity Model
389(3)
Reorder Points, Service Levels, and Safety Stock
392(1)
Excel Calculations
393(4)
Chapter 53 How Does the UPS Driver Know the Order to Deliver Packages?
397(8)
Why Is the Traveling Salesperson Problem So Hard?
398(1)
Solving the Traveling Salesperson Problem
399(1)
The Traveling Salesperson Problem in the Real World
400(1)
Excel Calculations
401(4)
Chapter 54 Can Data Win a Presidential Election?
405(10)
Democratic Presidential Analytics
405(4)
The GOP Strikes Back
409(3)
Cambridge Analytica and the 2016 Election
411(1)
Excel Calculations
412(3)
Chapter 55 Can Analytics Save Our Republic?
415(8)
Arrow's Impossibility Theorem
416(1)
It's Not Easy to Pick a Winner!
417(2)
Ranked-Choice Voting
419(1)
Approval Voting
420(1)
Quadratic Voting
420(1)
Excel Calculations
421(2)
Chapter 56 Why Do I Pay Too Much on eBay?
423(6)
How Many Pennies in the Jar?
423(1)
The Importance of Asymmetric Information
424(1)
The Winner's Curse and Offshore Oil Leases
424(1)
Sports Free Agents and the Winner's Curse
425(1)
Can You Avoid the Winner's Curse?
425(2)
Excel Calculations
427(2)
Chapter 57 Can Analytics Recognize, Predict, or Write a Hit Song?
429(8)
How Does Shazam Know What Song You Are Listening To?
430(1)
How Did Hit Song Science Know Norah Jones's Album Would Be a Smash?
431(2)
Can Artificial Intelligence Write a Good Song?
433(4)
Chapter 58 Can an Algorithm Improve Parole Decisions?
437(12)
An Example of Risk Scores
438(3)
ProPublica Criticizes Risk Scores
441(2)
Skeem and Lowenkamp and PCRA
443(1)
Machine Learning and Parole Decisions
444(5)
Chapter 59 How Do Baseball Teams Decide Where to Shift Fielders?
449(8)
The Debut of the Shift
449(1)
The Return of the Shift
450(2)
Empirical Evidence on the Shift
452(1)
Why Not Just Beat the Shift?
452(1)
Excel Calculations
453(4)
Chapter 60 Did Analytics Help the Mavericks Win the 2011 NBA Title?
457(6)
How Can You Evaluate a Basketball Player?
457(2)
From Player Ratings to Lineup Ratings
459(4)
Chapter 61 Who Gets the House in the Hamptons?
463(6)
The Basic Idea
464(1)
What Asset Division Is Best?
465(1)
Excel Calculations
466(3)
Index 469
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.