{"product_id":"statistics-for-compensation-a-practical-guide-to-compensation-analysis-hardback-9780470943342","title":"Statistics for Compensation; A Practical Guide to Compensation Analysis (Hardback) 9780470943342","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStatistics for Compensation\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Practical Guide to Compensation Analysis\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJohn H. Davis (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470943342, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 19 April 2011\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e456 pages, Charts: 30 B\u0026amp;W, 0 Color; Drawings: 10 B\u0026amp;W, 0 Color; Graphs: 10 B\u0026amp;W, 0 Color\u003cbr\u003e25.4 x 18.3 x 3 cm, 1.021 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e“As an experienced compensation manager for a publicly traded Fortune 500 company, I have found this book to be an all-inclusive, highly useful and infor­mative desk reference. It certainly has been extremely valuable in helping me to contribute to successful strategic decisions at my company.”  (\u003ci\u003eWorkspan,\u003c\/i\u003e 1 January 2013)\u003c\/p\u003e \"The book can serve as a text for students specializing in compensation or human resources, or as a reference for practitioners. He provides worked examples throughout.\" (Booknews, 1 June 2011)  \u003cp\u003e \u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eAn insightful, hands-on focus on the statistical methods used by compensation and human resources professionals in their everyday work\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e   \u003cp\u003eAcross various industries, compensation professionals work to organize and analyze aspects of employment that deal with elements of pay, such as deciding base salary, bonus, and commission provided by an employer to its employees for work performed. Acknowledging the numerous quantitative analyses of data that are a part of this everyday work, Statistics for Compensation provides a comprehensive guide to the key statistical tools and techniques needed to perform those analyses and to help organizations make fully informed compensation decisions.\u003c\/p\u003e \u003cp\u003eThis self-contained book is the first of its kind to explore the use of various quantitative methods—from basic notions about percents to multiple linear regression—that are used in the management, design, and implementation of powerful compensation strategies. Drawing upon his extensive experience as a consultant, practitioner, and teacher of both statistics and compensation, the author focuses on the usefulness of the techniques and their immediate application to everyday compensation work, thoroughly explaining major areas such as:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eFrequency distributions and histograms\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMeasures of location and variability\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eModel building\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eLinear models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eExponential curve models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMaturity curve models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003ePower models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMarket models and salary survey analysis\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eLinear and exponential integrated market models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eJob pricing market models\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThroughout the book, rigorous definitions and step-by-step procedures clearly explain and demonstrate how to apply the presented statistical techniques. Each chapter concludes with a set of exercises, and various case studies showcase the topic's real-world relevance. The book also features an extensive glossary of key statistical terms and an appendix with technical details. Data for the examples and practice problems are available in the book and on a related FTP site.\u003c\/p\u003e \u003cp\u003eStatistics for Compensation is an excellent reference for compensation professionals, human resources professionals, and other practitioners responsible for any aspect of base pay, incentive pay, sales compensation, and executive compensation in their organizations. It can also serve as a supplement for compensation courses at the upper-undergraduate and graduate levels.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Why do Statistical Analysis? 2\u003c\/p\u003e \u003cp\u003eExample Analysis 3\u003c\/p\u003e \u003cp\u003e1.2 Statistics 5\u003c\/p\u003e \u003cp\u003e1.3 Numbers Raise Issues 6\u003c\/p\u003e \u003cp\u003e1.4 Behind Every Data Point, There Is a Story 8\u003c\/p\u003e \u003cp\u003e1.5 Aggressive Inquisitiveness 9\u003c\/p\u003e \u003cp\u003e1.6 Model Building Framework 9\u003c\/p\u003e \u003cp\u003eExample Model 10\u003c\/p\u003e \u003cp\u003e1.7 Data Sets 10\u003c\/p\u003e \u003cp\u003e1.8 Prerequisites 11\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Basic Notions 13\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Percent 14\u003c\/p\u003e \u003cp\u003eGraphical Displays of Percents 16\u003c\/p\u003e \u003cp\u003e2.2 Percent Difference 21\u003c\/p\u003e \u003cp\u003e2.3 Compound Interest 23\u003c\/p\u003e \u003cp\u003eFuture Value 24\u003c\/p\u003e \u003cp\u003ePresent Value 26\u003c\/p\u003e \u003cp\u003eTranslating 27\u003c\/p\u003e \u003cp\u003ePractice Problems 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Frequency Distributions and Histograms 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Definitions and Construction 41\u003c\/p\u003e \u003cp\u003eRules for Categories 43\u003c\/p\u003e \u003cp\u003e3.2 Comparing Distributions 48\u003c\/p\u003e \u003cp\u003eAbsolute Comparison and Relative Comparison 48\u003c\/p\u003e \u003cp\u003eComparing More Than Two Distributions 50\u003c\/p\u003e \u003cp\u003e3.3 Information Loss and Comprehension Gain 51\u003c\/p\u003e \u003cp\u003e3.4 Category Selection 51\u003c\/p\u003e \u003cp\u003e3.5 Distribution Shapes 54\u003c\/p\u003e \u003cp\u003eUniform Distribution 55\u003c\/p\u003e \u003cp\u003eBell-Shaped Distribution 55\u003c\/p\u003e \u003cp\u003eNormal Distribution 56\u003c\/p\u003e \u003cp\u003eSkewed Distribution 59\u003c\/p\u003e \u003cp\u003eBimodal Distribution 60\u003c\/p\u003e \u003cp\u003ePractice Problems 62\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Measures of Location 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Mode 67\u003c\/p\u003e \u003cp\u003e4.2 Median 68\u003c\/p\u003e \u003cp\u003e4.3 Mean 70\u003c\/p\u003e \u003cp\u003e4.4 Trimmed Mean 73\u003c\/p\u003e \u003cp\u003e4.5 Overall Example and Comparison 73\u003c\/p\u003e \u003cp\u003eComparison 75\u003c\/p\u003e \u003cp\u003e4.6 Weighted and Unweighted Average 76\u003c\/p\u003e \u003cp\u003eWhich Measure to Use? 78\u003c\/p\u003e \u003cp\u003eApplication of Weighted Averages to Salary Increase Guidelines 80\u003c\/p\u003e \u003cp\u003e4.7 Simpson’s Paradox 82\u003c\/p\u003e \u003cp\u003e4.8 Percentile 85\u003c\/p\u003e \u003cp\u003eReverse Percentile 88\u003c\/p\u003e \u003cp\u003e4.9 Percentile Bars 90\u003c\/p\u003e \u003cp\u003ePractice Problems 92\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Measures of Variability 95\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Importance of Knowing Variability 95\u003c\/p\u003e \u003cp\u003e5.2 Population and Sample 96\u003c\/p\u003e \u003cp\u003eExamples of Populations 96\u003c\/p\u003e \u003cp\u003eExamples of Samples and Populations 96\u003c\/p\u003e \u003cp\u003e5.3 Types of Samples 97\u003c\/p\u003e \u003cp\u003e5.4 Standard Deviation 98\u003c\/p\u003e \u003cp\u003eInterpretations and Applications of Standard Deviation 100\u003c\/p\u003e \u003cp\u003e5.5 Coefficient of Variation 107\u003c\/p\u003e \u003cp\u003eInterpretations and Applications of Coefficient of Variation 108\u003c\/p\u003e \u003cp\u003e5.6 Range 109\u003c\/p\u003e \u003cp\u003eInterpretations and Applications of Range 109\u003c\/p\u003e \u003cp\u003e5.7 P90\/P10 110\u003c\/p\u003e \u003cp\u003eInterpretations and Applications of P90\/P10 111\u003c\/p\u003e \u003cp\u003e5.8 Comparison and Summary 112\u003c\/p\u003e \u003cp\u003ePractice Problems 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Model Building 119\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Prelude to Models 119\u003c\/p\u003e \u003cp\u003e6.2 Introduction 120\u003c\/p\u003e \u003cp\u003e6.3 Scientific Method 122\u003c\/p\u003e \u003cp\u003e6.4 Models 123\u003c\/p\u003e \u003cp\u003e6.5 Model Building Process 126\u003c\/p\u003e \u003cp\u003ePlotting Points 128\u003c\/p\u003e \u003cp\u003eFunctional Forms 132\u003c\/p\u003e \u003cp\u003eMethod of Least Squares 136\u003c\/p\u003e \u003cp\u003ePractice Problems 138\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Linear Model 141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Examples 141\u003c\/p\u003e \u003cp\u003e7.2 Straight Line Basics 143\u003c\/p\u003e \u003cp\u003eInterpretations of Intercept and Slope 144\u003c\/p\u003e \u003cp\u003eUsing the Equation 145\u003c\/p\u003e \u003cp\u003e7.3 Fitting the Line to the Data 147\u003c\/p\u003e \u003cp\u003eWhat We Are Predicting 148\u003c\/p\u003e \u003cp\u003eInterpretations of Intercept and Slope 149\u003c\/p\u003e \u003cp\u003e7.4 Model Evaluation 149\u003c\/p\u003e \u003cp\u003eAppearance 150\u003c\/p\u003e \u003cp\u003eCoefficient of Determination 150\u003c\/p\u003e \u003cp\u003eCorrelation 152\u003c\/p\u003e \u003cp\u003eStandard Error of Estimate 154\u003c\/p\u003e \u003cp\u003eCommon Sense 154\u003c\/p\u003e \u003cp\u003e7.5 Summary of Interpretations and Evaluation 155\u003c\/p\u003e \u003cp\u003e7.6 Cautions 155\u003c\/p\u003e \u003cp\u003e7.7 Digging Deeper 158\u003c\/p\u003e \u003cp\u003e7.8 Keep the Horse before the Cart 160\u003c\/p\u003e \u003cp\u003ePractice Problems 164\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Exponential Model 167\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Examples 167\u003c\/p\u003e \u003cp\u003e8.2 Logarithms 168\u003c\/p\u003e \u003cp\u003eAntilogs 170\u003c\/p\u003e \u003cp\u003eScales 170\u003c\/p\u003e \u003cp\u003eWhy Logarithms? 171\u003c\/p\u003e \u003cp\u003e8.3 Exponential Model 172\u003c\/p\u003e \u003cp\u003e8.4 Model Evaluation 176\u003c\/p\u003e \u003cp\u003eAppearance 176\u003c\/p\u003e \u003cp\u003eCoefficient of Determination 177\u003c\/p\u003e \u003cp\u003eCorrelation 177\u003c\/p\u003e \u003cp\u003eStandard Error of Estimate 177\u003c\/p\u003e \u003cp\u003eCommon Sense 178\u003c\/p\u003e \u003cp\u003eSummary of Evaluation 178\u003c\/p\u003e \u003cp\u003ePractice Problems 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Maturity Curve Model 181\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Maturity Curves 181\u003c\/p\u003e \u003cp\u003e9.2 Building the Model 184\u003c\/p\u003e \u003cp\u003eCubic Model 184\u003c\/p\u003e \u003cp\u003eCubic Model Evaluation 186\u003c\/p\u003e \u003cp\u003eSpline Model 187\u003c\/p\u003e \u003cp\u003eSpline Model Evaluation 188\u003c\/p\u003e \u003cp\u003e9.3 Comparison of Models 190\u003c\/p\u003e \u003cp\u003ePractice Problems 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Power Model 193\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Building the Model 193\u003c\/p\u003e \u003cp\u003e10.2 Model Evaluation 197\u003c\/p\u003e \u003cp\u003eAppearance 197\u003c\/p\u003e \u003cp\u003eCoefficient of Determination 198\u003c\/p\u003e \u003cp\u003eCorrelation 198\u003c\/p\u003e \u003cp\u003eStandard Error of Estimate 198\u003c\/p\u003e \u003cp\u003eCommon Sense 199\u003c\/p\u003e \u003cp\u003eSummary of Evaluation 199\u003c\/p\u003e \u003cp\u003ePractice Problems 200\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Market Models and Salary Survey Analysis 201\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 201\u003c\/p\u003e \u003cp\u003e11.2 Commonalities of Approaches 203\u003c\/p\u003e \u003cp\u003e11.3 Final Market-Based Salary Increase Budget 205\u003c\/p\u003e \u003cp\u003eInitial Market-Based Salary Increase Budget and Market Position 205\u003c\/p\u003e \u003cp\u003eFinal Market-Based Salary Increase Budget 206\u003c\/p\u003e \u003cp\u003eRaises Given Throughout the Year 206\u003c\/p\u003e \u003cp\u003eRaises Given on a Common Date 208\u003c\/p\u003e \u003cp\u003e11.4 Other Factors Influencing the Final Salary Increase Budget Recommendation 210\u003c\/p\u003e \u003cp\u003eAssumptions 211\u003c\/p\u003e \u003cp\u003e11.5 Salary Structure 211\u003c\/p\u003e \u003cp\u003ePractice Problems 213\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Integrated Market Model: Linear 215\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Gather Market Data 215\u003c\/p\u003e \u003cp\u003e12.2 Age Data to a Common Date 217\u003c\/p\u003e \u003cp\u003e12.3 Create an Integrated Market Model 217\u003c\/p\u003e \u003cp\u003eInterpretations 219\u003c\/p\u003e \u003cp\u003e12.4 Compare Employee Pay with Market Model 222\u003c\/p\u003e \u003cp\u003ePractice Problems 228\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Integrated Market Model: Exponential 233\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePractice Problems 246\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Integrated Market Model: Maturity Curve 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePractice Problems 261\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15 Job Pricing Market Model: Group of Jobs 265\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePractice Problems 272\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16 Job Pricing Market Model: Power Model 277\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePractice Problems 280\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17 Multiple Linear Regression 283\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17.1 What It Is 283\u003c\/p\u003e \u003cp\u003e17.2 Similarities and Differenceswith Simple Linear Regression 284\u003c\/p\u003e \u003cp\u003e17.3 Building the Model 285\u003c\/p\u003e \u003cp\u003eFirst x-Variable 292\u003c\/p\u003e \u003cp\u003eSecond x-Variable 295\u003c\/p\u003e \u003cp\u003eStandardized Coefficient 298\u003c\/p\u003e \u003cp\u003eThird x-Variable 300\u003c\/p\u003e \u003cp\u003eMulticollinearity 301\u003c\/p\u003e \u003cp\u003e17.4 Model Evaluation 305\u003c\/p\u003e \u003cp\u003eRegression Coefficients 305\u003c\/p\u003e \u003cp\u003eStandardized Coefficients 306\u003c\/p\u003e \u003cp\u003eCoefficient of Determination 306\u003c\/p\u003e \u003cp\u003eStandard Error of Estimate 306\u003c\/p\u003e \u003cp\u003eMulticollinearity 306\u003c\/p\u003e \u003cp\u003eSimplicity 307\u003c\/p\u003e \u003cp\u003eCommon Sense 307\u003c\/p\u003e \u003cp\u003eAcceptability 307\u003c\/p\u003e \u003cp\u003eReality 307\u003c\/p\u003e \u003cp\u003eDecision 307\u003c\/p\u003e \u003cp\u003e17.5 Mixed Messages in Evaluating A Model 308\u003c\/p\u003e \u003cp\u003er\u003csup\u003e2\u003c\/sup\u003e Versus Common Sense 308\u003c\/p\u003e \u003cp\u003er\u003csup\u003e2\u003c\/sup\u003e Versus Simplicity 308\u003c\/p\u003e \u003cp\u003eSimplicity Versus Acceptability 308\u003c\/p\u003e \u003cp\u003e17.6 Summary of Regressions 308\u003c\/p\u003e \u003cp\u003e17.7 Digging Deeper 310\u003c\/p\u003e \u003cp\u003eSummary 315\u003c\/p\u003e \u003cp\u003ePractice Problems 317\u003c\/p\u003e \u003cp\u003eAppendix 319\u003c\/p\u003e \u003cp\u003eA.1 Value Exchange Theory 319\u003c\/p\u003e \u003cp\u003eAchieving Organization Goals 319\u003c\/p\u003e \u003cp\u003eValue Exchange 319\u003c\/p\u003e \u003cp\u003eA Fair Value Exchange Is a Good Deal 320\u003c\/p\u003e \u003cp\u003eA.2 Factors Determining a Person’s Pay 321\u003c\/p\u003e \u003cp\u003eSystem Factors 322\u003c\/p\u003e \u003cp\u003eIndividual Factors 323\u003c\/p\u003e \u003cp\u003eA.3 Types of Numbers 324\u003c\/p\u003e \u003cp\u003eDefinitions and Properties 324\u003c\/p\u003e \u003cp\u003eHistograms with All Four Types of Measurements 327\u003c\/p\u003e \u003cp\u003eA.4 Significant Figures 330\u003c\/p\u003e \u003cp\u003eA.5 Scientific Notation 331\u003c\/p\u003e \u003cp\u003eA.6 Accuracy and Precision 332\u003c\/p\u003e \u003cp\u003eWhich Is More Important? 333\u003c\/p\u003e \u003cp\u003eA.7 Compound Interest–Additional 333\u003c\/p\u003e \u003cp\u003eOther Formulas 333\u003c\/p\u003e \u003cp\u003eA.8 Rule of 72 334\u003c\/p\u003e \u003cp\u003eDerivation of the Rule of 72 335\u003c\/p\u003e \u003cp\u003eA.9 Normal Distribution 336\u003c\/p\u003e \u003cp\u003eCentral Limit Theorem 337\u003c\/p\u003e \u003cp\u003eDistribution of Salary Survey Data 338\u003c\/p\u003e \u003cp\u003eA.10 Linear Regression Technical Note 338\u003c\/p\u003e \u003cp\u003eA.11 Formulas for Regression Terms 340\u003c\/p\u003e \u003cp\u003eA.12 Logarithmic Conversion 340\u003c\/p\u003e \u003cp\u003eA.13 Range Spread Relationships 340\u003c\/p\u003e \u003cp\u003eOverlap 343\u003c\/p\u003e \u003cp\u003eA.14 Statistical Inference in Regression 344\u003c\/p\u003e \u003cp\u003et-Statistic and Its Probability 347\u003c\/p\u003e \u003cp\u003eF-Statistic and Its Probability 348\u003c\/p\u003e \u003cp\u003eMixed Messages in Evaluating a Model 349\u003c\/p\u003e \u003cp\u003eA.15 Additional Multiple Linear Regression Topics 349\u003c\/p\u003e \u003cp\u003eAdjusted r2 349\u003c\/p\u003e \u003cp\u003eCoding of Indicator Variables 350\u003c\/p\u003e \u003cp\u003eInteraction Terms 351\u003c\/p\u003e \u003cp\u003eGLOSSARY 357\u003c\/p\u003e \u003cp\u003eREFERENCES 369\u003c\/p\u003e \u003cp\u003eANSWERS TO PRACTICE PROBLEMS 371\u003c\/p\u003e \u003cp\u003eINDEX 433\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand 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