{"product_id":"analytics-stories-9781119646037","title":"Analytics Stories","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eInform your own analyses by seeinghow one of the best data analysts in the world approaches analytics problems\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAnalytics Stories: How to Make Good Things Happen\u003c\/i\u003eis 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,\u003ci\u003eAnalytics Stories\u003c\/i\u003ebridges the gap between theoftinscrutable world of data analytics and the concrete problems it solves.\u003c\/p\u003e \u003cp\u003eDistinguished professor and author Wayne L. Winston answers questions like:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eWas Liverpool over Barcelona the greatest upset in sports history?\u003c\/li\u003e \u003cli\u003eWas Derek Jeter a great infielder\u003c\/li\u003e \u003cli\u003eWhat''s wrong with the NFL QB rating?\u003c\/li\u003e \u003cli\u003eHow did Madoff keep his fund going?\u003c\/li\u003e \u003cli\u003eDoes a mutual fund's past performance predict future performance?\u003c\/li\u003e \u003cli\u003eWhat caused the Crash of 2008?\u003c\/li\u003e \u003cli\u003eCan we predict where crimes are likely to occur?\u003c\/li\u003e \u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction xxvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I What Happened? 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Preliminaries 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBasic Concepts in Data Analysis 3\u003c\/p\u003e \u003cp\u003eWhat Is a Random Variable? 9\u003c\/p\u003e \u003cp\u003eExcel Calculations 13\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Was the 1969 Draft Lottery Fair? 17\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Data 17\u003c\/p\u003e \u003cp\u003eThe Analysis 18\u003c\/p\u003e \u003cp\u003eExcel Calculations 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Who Won the 2000 Election: Bush or Gore? 23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eProjecting the Undervotes 24\u003c\/p\u003e \u003cp\u003eWhat Happened with the Overvotes? 25\u003c\/p\u003e \u003cp\u003eThe Butterfl y Did It! 25\u003c\/p\u003e \u003cp\u003eExcel Calculations 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Was Liverpool Over Barcelona the Greatest Upset in Sports History? 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Should We Rank Upsets? 31\u003c\/p\u003e \u003cp\u003eLeicester Wins the 2015–2016 Premier League 32\u003c\/p\u003e \u003cp\u003e#16 Seed UMBC Beats #1 Seed Virginia 33\u003c\/p\u003e \u003cp\u003eThe Jets Win Super Bowl III 33\u003c\/p\u003e \u003cp\u003eOther Big Upsets 34\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 How Did Bernie Madoff Keep His Fund Going? 35\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Mathematics of Ponzi Schemes 36\u003c\/p\u003e \u003cp\u003eMadoff’s Purported Strategy 37\u003c\/p\u003e \u003cp\u003eThe Sharpe Ratio Proves Madoff Was a Fraud 39\u003c\/p\u003e \u003cp\u003eBenford’s Law and Madoff’s Fraud 40\u003c\/p\u003e \u003cp\u003eExcel Calculations 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Is the Lot of the American Worker Improving? 45\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIs U.S. Family Income Skewed? 45\u003c\/p\u003e \u003cp\u003eMedian Income and Politics 46\u003c\/p\u003e \u003cp\u003eCauses of Increasing U.S. Income Inequality 48\u003c\/p\u003e \u003cp\u003eMoney Isn’t Everything: The Human\u003c\/p\u003e \u003cp\u003eDevelopment Index 50\u003c\/p\u003e \u003cp\u003eCreate Your Own Ranking of Well-Being 50\u003c\/p\u003e \u003cp\u003eAre Other Countries Catching Up to the U.S.? 51\u003c\/p\u003e \u003cp\u003eExcel Calculations 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Measuring Income Inequality with the Gini, Palm, and Atkinson Indices 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Gini Index 53\u003c\/p\u003e \u003cp\u003eThe Palma Index 56\u003c\/p\u003e \u003cp\u003eThe Atkinson Index 57\u003c\/p\u003e \u003cp\u003eExcel Calculations 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Modeling Relationships Between Two Variables 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExamples of Relationships Between Two Variables 61\u003c\/p\u003e \u003cp\u003eFinding the Best-Fitting (Least Squares) Line 62\u003c\/p\u003e \u003cp\u003eComputing the Beta of a Stock 63\u003c\/p\u003e \u003cp\u003eWhat Is a Good R2? 64\u003c\/p\u003e \u003cp\u003eCorrelation and R2 65\u003c\/p\u003e \u003cp\u003eWe are Not Living in a Linear World 67\u003c\/p\u003e \u003cp\u003eExcel Calculations 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Intergenerational Mobility 73\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAbsolute Intergenerational Mobility 74\u003c\/p\u003e \u003cp\u003eIntergenerational Elasticity 74\u003c\/p\u003e \u003cp\u003eRank-Rank Mobility 75\u003c\/p\u003e \u003cp\u003eComparing IGE and Rank-Rank Mobility 75\u003c\/p\u003e \u003cp\u003eMeasuring Mobility with Quintiles 78\u003c\/p\u003e \u003cp\u003eThe Great Gatsby Curve 80\u003c\/p\u003e \u003cp\u003eExcel Calculations 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Is Anderson Elementary School a Bad School? 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Can We Adjust for Family Income? 86\u003c\/p\u003e \u003cp\u003eEstimating the Least Squares Line 86\u003c\/p\u003e \u003cp\u003eCan We Compare Standardized Test Performance for Students in Different States? 86\u003c\/p\u003e \u003cp\u003eExcel Calculations 87\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Value-Added Assessments of Teacher Effectiveness 89\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSimple Gain Score Assessment 90\u003c\/p\u003e \u003cp\u003eCovariate Adjustment Assessment 91\u003c\/p\u003e \u003cp\u003eLayered Assessment Model 91\u003c\/p\u003e \u003cp\u003eCross-Classified Constant Growth Assessment 91\u003c\/p\u003e \u003cp\u003eProblems with VAA 93\u003c\/p\u003e \u003cp\u003eHow Much Is a Good Teacher Worth? 94\u003c\/p\u003e \u003cp\u003eExcel Calculations 95\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Berkeley, Buses, Cars, and Planes 97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSimpson’s Paradox and College Admissions 98\u003c\/p\u003e \u003cp\u003eThe Waiting Time Paradox 100\u003c\/p\u003e \u003cp\u003eWhen Is the Average of 40 and 80 Not 60? 100\u003c\/p\u003e \u003cp\u003eWhy Pre COVID Were There Never Empty\u003c\/p\u003e \u003cp\u003eSeats on My Flight? 101\u003c\/p\u003e \u003cp\u003eExcel Calculations 101\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Is Carmelo Anthony a Hall of Famer? 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Metric Defines Basketball Ability? 104\u003c\/p\u003e \u003cp\u003eWins Above Replacement Player (WARP) 105\u003c\/p\u003e \u003cp\u003eManu, Melo, Dirk, and Dwayne 106\u003c\/p\u003e \u003cp\u003eHow Do 25,000 Points Lead to So Few Wins? 106\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Was Derek Jeter a Great Fielder? 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFielding Statistics: The First Hundred Years 109\u003c\/p\u003e \u003cp\u003eRange Factor 110\u003c\/p\u003e \u003cp\u003e\u003ci\u003eThe Fielding Bible\u003c\/i\u003e: A Great Leap Forward 111\u003c\/p\u003e \u003cp\u003eThe Next Frontier 112\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15 “Drive for Show and Putt for Dough?” 115\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStrokes Gained 115\u003c\/p\u003e \u003cp\u003eThe Myth Exposed 116\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16 What’s Wrong with the NFL QB Rating? 117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNFL Quarterback Rating 117\u003c\/p\u003e \u003cp\u003eESPN’s Total Quarterback Rating 124\u003c\/p\u003e \u003cp\u003eExcel Calculations 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17 Some Sports Have All the Luck 127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSkill vs. Luck: The Key Idea 127\u003c\/p\u003e \u003cp\u003eThe Results 129\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18 Gerrymandering 131\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Stylized Example 132\u003c\/p\u003e \u003cp\u003eThe Mathematics of Gerrymandering 136\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 19 Evidence-Based Medicine 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eJames Lind and Scurvy: The Birth of Evidence-Based Medicine 143\u003c\/p\u003e \u003cp\u003eThe Randomized Streptomycin Tuberculosis Trial 145\u003c\/p\u003e \u003cp\u003eExcel Calculations 146\u003c\/p\u003e \u003cp\u003eHormone Replacement: Good or Bad? 148\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 20 How Do We Compare Hospitals? 151\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRatings Criteria 152\u003c\/p\u003e \u003cp\u003eConclusion 156\u003c\/p\u003e \u003cp\u003eExcel Calculations 157\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 21 What Is the Worst Health Care Problem in My Country? 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDisability-Adjusted Life Years 159\u003c\/p\u003e \u003cp\u003eDetermination of Disability Weights 160\u003c\/p\u003e \u003cp\u003eTo Age Weight or Discount, That Is the Question 162\u003c\/p\u003e \u003cp\u003eKey Facts About World Health 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II What Will Happen? 167\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 22 Does a Mutual Fund’s Past Performance Predict Future Performance? 169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMutual Fund Basics 170\u003c\/p\u003e \u003cp\u003eMorningstar Ratings 170\u003c\/p\u003e \u003cp\u003eRisk-Adjusting Fund Returns 171\u003c\/p\u003e \u003cp\u003eHow Well Do Morningstar Star Ratings\u003c\/p\u003e \u003cp\u003ePredict a Fund’s Future Performance? 175\u003c\/p\u003e \u003cp\u003eThe Effect of Expense Ratio on Long-Term Performance 177\u003c\/p\u003e \u003cp\u003eExcel Calculations 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 23 Is Vegas Good at Picking NFL Games? 181\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow NFL Betting Works 181\u003c\/p\u003e \u003cp\u003eBias and Accuracy 184\u003c\/p\u003e \u003cp\u003eVegas Forecasts are Unbiased 185\u003c\/p\u003e \u003cp\u003eTotals Predictions and Money Line Predictions are Unbiased 188\u003c\/p\u003e \u003cp\u003eNFL Accuracy: The Line vs. the Computers 188\u003c\/p\u003e \u003cp\u003eA System Works Until It Doesn’t 189\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 24 Will My New Hires Be Good Employees? 191\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Data Do We Need to Determine Attributes That Best Predict Employee Performance? 192\u003c\/p\u003e \u003cp\u003eBesides GMA, Not Much Affects Job Performance 196\u003c\/p\u003e \u003cp\u003eExcel Calculations 197\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 25 Should I Go to State U or Princeton? 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAnalyzing Princeton vs. Penn State 200\u003c\/p\u003e \u003cp\u003eExcel Calculations 202\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 26 Will My Favorite Sports Team Be Great Next Year? 203\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFrancis Galton and Regression to the Mean 203\u003c\/p\u003e \u003cp\u003eRegression to the Mean in the NFL and the NBA 204\u003c\/p\u003e \u003cp\u003eExcel Calculations 207\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 27 How Did Central Bankers Fail to Predict the 2008 Recession? 209\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Inverted Yield Curve 210\u003c\/p\u003e \u003cp\u003eThe Sahm Rule: Early Warning Signal for Recession 211\u003c\/p\u003e \u003cp\u003eControl Charts and the Housing Price\/Rent Ratio 211\u003c\/p\u003e \u003cp\u003eExcel Calculations 215\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 28 How Does Target Know If You’re Pregnant? 219\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Available Data Can Be Used\u003c\/p\u003e \u003cp\u003eto Identify Pregnant Women? 220\u003c\/p\u003e \u003cp\u003eProblems Arise 220\u003c\/p\u003e \u003cp\u003eAn Example of a Pregnancy Prediction Score 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 29 How Does Netflix Recommend Movies and TV Shows? 225\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUser-Based Collaborative Filtering 226\u003c\/p\u003e \u003cp\u003eItem-Based Filtering 229\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 30 Can We Predict Heart Attacks in Real Time? 233\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePosterior Probability 234\u003c\/p\u003e \u003cp\u003eSensitivity and Specifi city 235\u003c\/p\u003e \u003cp\u003eROC Curve 235\u003c\/p\u003e \u003cp\u003eBack to the Apple Heart Study 237\u003c\/p\u003e \u003cp\u003eAliveCor \u003cb\u003eand \u003c\/b\u003eKardiaBand 239\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 31 Is Proactive Policing Effective? 241\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHot Spots Policing 242\u003c\/p\u003e \u003cp\u003ePredictive Policing 243\u003c\/p\u003e \u003cp\u003eCCTV 244\u003c\/p\u003e \u003cp\u003eStop and Frisk 244\u003c\/p\u003e \u003cp\u003eBroken Windows 246\u003c\/p\u003e \u003cp\u003eExcel Calculations 247\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 32 Guess How Many are Coming to Dinner? 249\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhich Parameters Must Be Estimated? 250\u003c\/p\u003e \u003cp\u003eThe Data 252\u003c\/p\u003e \u003cp\u003eThe Results 253\u003c\/p\u003e \u003cp\u003eWhich Factor Really Matters? 254\u003c\/p\u003e \u003cp\u003eExcel Calculations 254\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 33 Can Prediction Markets Predict the Future? 259\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExamples of Trade Contracts 260\u003c\/p\u003e \u003cp\u003ePrediction Market Trading Mechanisms 261\u003c\/p\u003e \u003cp\u003eAccuracy of Prediction Markets and Wisdom of Crowds 262\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 34 The ABCs of Polling 265\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy are 1,112 People Enough to Represent U.S. Voters? 265\u003c\/p\u003e \u003cp\u003eWhy Doesn’t a Larger Population Require a Larger Sample Size? 267\u003c\/p\u003e \u003cp\u003eSo, What Can Go Wrong? 268\u003c\/p\u003e \u003cp\u003eRating Polls 271\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 35 How Did Buzzfeed Make the Dress Go Viral? 273\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMeasuring Instagram Engagement 274\u003c\/p\u003e \u003cp\u003eTweets Do Not Always Go Viral Immediately 274\u003c\/p\u003e \u003cp\u003eDo the First Few Days Predict the Future of a Meme? 275\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 36 Predicting \u003ci\u003eGame of Thrones \u003c\/i\u003eTV Ratings 277\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Does Google Trends Tell Us? 277\u003c\/p\u003e \u003cp\u003ePredicting the Present with Google Trends 278\u003c\/p\u003e \u003cp\u003eUsing Google Trends to Forecast \u003ci\u003eGOT \u003c\/i\u003eRatings 279\u003c\/p\u003e \u003cp\u003eExcel Calculations 281\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Why Did It Happened? 283\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 37 Does Smoking Cause Lung Cancer? 285\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCorrelation and Causation Redux 285\u003c\/p\u003e \u003cp\u003eThe Key Evidence 286\u003c\/p\u003e \u003cp\u003eCould Air Pollution Have Caused Lung Cancer? 287\u003c\/p\u003e \u003cp\u003eThe Cigarette Companies Hit Back 287\u003c\/p\u003e \u003cp\u003eExcel Calculations 288\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 38 Why are the Houston Rockets a Good Basketball Team? 291\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNBA Shooting Math 101 292\u003c\/p\u003e \u003cp\u003eZach LaVine Battles the Bulls’ Analytics Department 295\u003c\/p\u003e \u003cp\u003eConclusion 296\u003c\/p\u003e \u003cp\u003eExcel Calculations 296\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 39 Why Have Sacrifice Bunts and Intentional Walks Nearly Disappeared? 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Case Against Bunting 298\u003c\/p\u003e \u003cp\u003eBunting Against the Shift 299\u003c\/p\u003e \u003cp\u003eWhy are Intentional Walks on the Decline? 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 40 Do NFL Teams Pass Too Much and Go for It Often Enough on Fourth Down? 301\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Ascent of Passing 301\u003c\/p\u003e \u003cp\u003eFourth Down Strategy 303\u003c\/p\u003e \u003cp\u003eNew Data Partially Vindicates the Coaches 304\u003c\/p\u003e \u003cp\u003eTeams Should Go for Two More Often 306\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 41 What Caused the 1854 London Cholera Outbreak? 307\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCholera 307\u003c\/p\u003e \u003cp\u003eSnow and the Broad Street Pump 308\u003c\/p\u003e \u003cp\u003eSnow’s Randomized Controlled Trial 310\u003c\/p\u003e \u003cp\u003eConclusion 311\u003c\/p\u003e \u003cp\u003eExcel Calculations 312\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 42 What Affects the Sales of a Retail Product? 313\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePainter’s Tape 313\u003c\/p\u003e \u003cp\u003eEstimating the Model Parameters 315\u003c\/p\u003e \u003cp\u003eExcel Calculations 316\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 43 Why Does the Pareto Principle Explain So Many Things? 319\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePower Laws 320\u003c\/p\u003e \u003cp\u003eWhy Do Incomes Follow the Pareto Principle? 322\u003c\/p\u003e \u003cp\u003eWhy Do a Few Websites Get Most of the Hits? 323\u003c\/p\u003e \u003cp\u003eExcel Calculations 324\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 44 Does Where You Grow Up Matter? 327\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eQuasi-Experimental Design vs. Randomized Controlled Trials 328\u003c\/p\u003e \u003cp\u003eWhat Drives Neighborhood Differences in Upward Mobility? 329\u003c\/p\u003e \u003cp\u003eHow Can We Make Things Better? 330\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 45 The Waiting is the Hardest Part 333\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhich Factors Influence the Performance of a Queueing System? 334\u003c\/p\u003e \u003cp\u003eOperating Characteristics of a Queueing System 334\u003c\/p\u003e \u003cp\u003eHow Does Variability Degrade the Performance of a Queueing System? 335\u003c\/p\u003e \u003cp\u003eCalculating the Operating Characteristics of a Queueing System 336\u003c\/p\u003e \u003cp\u003eExcel Calculations 338\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 46 are Roundabouts a Good Idea? 339\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Is a Roundabout? 340\u003c\/p\u003e \u003cp\u003eHistory of Roundabouts 340\u003c\/p\u003e \u003cp\u003eBenefi ts of Roundabouts 341\u003c\/p\u003e \u003cp\u003eDisadvantages of Roundabouts 343\u003c\/p\u003e \u003cp\u003eRoundabout Capacity 344\u003c\/p\u003e \u003cp\u003eRoundabouts and Revolutions 345\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 47 Red Light, Green Light, or No Light? 347\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Causes Traffic Jams? 347\u003c\/p\u003e \u003cp\u003eHow Should We Set the Lights? 348\u003c\/p\u003e \u003cp\u003eRamp Meters and Equity 349\u003c\/p\u003e \u003cp\u003eMeasuring the Impact of Ramp Meters 350\u003c\/p\u003e \u003cp\u003eThe Twin Cities Metering Holiday 350\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV How Do I Make Good Things Happen? 351\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 48 How Can We Improve K–12 Education? 353\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTennessee’s STAR Study on K–2 Class Size 355\u003c\/p\u003e \u003cp\u003eCost–Benefi t Analysis 356\u003c\/p\u003e \u003cp\u003eCan Predictive Analytics Increase Enrollment and Performance in Eighth-Grade Algebra I? 360\u003c\/p\u003e \u003cp\u003eExcel Calculations 360\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 49 Can A\/B Testing Improve My Website’s Performance? 363\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eImproving Obama’s Fundraising in 2008 364\u003c\/p\u003e \u003cp\u003eThe Mechanics of Resampling 365\u003c\/p\u003e \u003cp\u003eExcel Calculations 366\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 50 How Should I Allocate My Retirement Portfolio? 369\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Basic Portfolio Optimization Model 369\u003c\/p\u003e \u003cp\u003eThe Effi cient Frontier 372\u003c\/p\u003e \u003cp\u003eDiffi culties in Implementing the Markowitz Model 374\u003c\/p\u003e \u003cp\u003eExcel Calculations 374\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 51 How Do Hedge Funds Work? 377\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGrowth in Hedge Funds and Hedge Fund Fee Structure 378\u003c\/p\u003e \u003cp\u003eShorting a Stock 378\u003c\/p\u003e \u003cp\u003eLong\/Short and Market-Neutral Strategies 378\u003c\/p\u003e \u003cp\u003eConvertible Arbitrage 380\u003c\/p\u003e \u003cp\u003eMerger Arbitrage 382\u003c\/p\u003e \u003cp\u003eGlobal Macro Strategy 383\u003c\/p\u003e \u003cp\u003eHedge Fund Performance 384\u003c\/p\u003e \u003cp\u003eThe George Costanza Portfolio 384\u003c\/p\u003e \u003cp\u003eExcel Calculations 385\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 52 How Much Should We Order and When Should We Order? 389\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Economic Order Quantity Model 389\u003c\/p\u003e \u003cp\u003eReorder Points, Service Levels, and Safety Stock 392\u003c\/p\u003e \u003cp\u003eExcel Calculations 393\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 53 How Does the UPS Driver Know the Order to Deliver Packages? 397\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy Is the Traveling Salesperson Problem So Hard? 398\u003c\/p\u003e \u003cp\u003eSolving the Traveling Salesperson Problem 399\u003c\/p\u003e \u003cp\u003eThe Traveling Salesperson Problem in the Real World 400\u003c\/p\u003e \u003cp\u003eExcel Calculations 401\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 54 Can Data Win a Presidential Election? 405\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDemocratic Presidential Analytics 405\u003c\/p\u003e \u003cp\u003eThe GOP Strikes Back 409\u003c\/p\u003e \u003cp\u003eCambridge Analytica and the 2016 Election 411\u003c\/p\u003e \u003cp\u003eExcel Calculations 412\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 55 Can Analytics Save Our Republic? 415\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eArrow’s Impossibility Theorem 416\u003c\/p\u003e \u003cp\u003eIt’s Not Easy to Pick a Winner! 417\u003c\/p\u003e \u003cp\u003eRanked-Choice Voting 419\u003c\/p\u003e \u003cp\u003eApproval Voting 420\u003c\/p\u003e \u003cp\u003eQuadratic Voting 420\u003c\/p\u003e \u003cp\u003eExcel Calculations 421\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 56 Why Do I Pay Too Much on eBay? 423\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Many Pennies in the Jar? 423\u003c\/p\u003e \u003cp\u003eThe Importance of Asymmetric Information 424\u003c\/p\u003e \u003cp\u003eThe Winner’s Curse and Offshore Oil Leases 424\u003c\/p\u003e \u003cp\u003eSports Free Agents and the Winner’s Curse 425\u003c\/p\u003e \u003cp\u003eCan You Avoid the Winner’s Curse? 425\u003c\/p\u003e \u003cp\u003eExcel Calculations 427\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 57 Can Analytics Recognize, Predict, or Write a Hit Song? 429\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Does Shazam Know What Song You are Listening To? 430\u003c\/p\u003e \u003cp\u003eHow Did Hit Song Science Know Norah Jones’s Album Would Be a Smash? 431\u003c\/p\u003e \u003cp\u003eCan Artifi cial Intelligence Write a Good Song? 433\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 58 Can an Algorithm Improve Parole Decisions? 437\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAn Example of Risk Scores 438\u003c\/p\u003e \u003cp\u003eProPublica Criticizes Risk Scores 441\u003c\/p\u003e \u003cp\u003eSkeem and Lowenkamp and PCRA 443\u003c\/p\u003e \u003cp\u003eMachine Learning and Parole Decisions 444\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 59 How Do Baseball Teams Decide Where to Shift Fielders? 449\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Debut of the Shift 449\u003c\/p\u003e \u003cp\u003eThe Return of the Shift 450\u003c\/p\u003e \u003cp\u003eEmpirical Evidence on the Shift 452\u003c\/p\u003e \u003cp\u003eWhy Not Just Beat the Shift? 452\u003c\/p\u003e \u003cp\u003eExcel Calculations 453\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 60 Did Analytics Help the Mavericks Win the 2011 NBA Title? 457\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Can You Evaluate a Basketball Player? 457\u003c\/p\u003e \u003cp\u003eFrom Player Ratings to Lineup Ratings 459\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 61 Who Gets the House in the Hamptons? 463\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Basic Idea 464\u003c\/p\u003e \u003cp\u003eWhat Asset Division Is Best? 465\u003c\/p\u003e \u003cp\u003eExcel Calculations 466\u003c\/p\u003e \u003cp\u003eIndex 469\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407108251991,"sku":"9781119646037","price":23.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119646037.jpg?v=1730498205","url":"https:\/\/bookcurl.com\/products\/analytics-stories-9781119646037","provider":"Book Curl","version":"1.0","type":"link"}