Chapter 1 Introduction.
1.1 Why Do Statistical Analysis?
1.3 Numbers Raise Issues.
1.4 Behind Every Data Point, There is a Story.
1.5 Aggressive Inquisitiveness.
1.6 Model Building Framework.
1.7 Data Sets.
Chapter 2 Basic Notions.
2.2 Percent Difference.
2.3 Compound Interest.
Chapter 3 Frequency Distributions and Histograms.
3.1 Definitions and Construction.
3.2 Comparing Distributions.
3.3 Information Loss and Comprehensive Gain.
3.4 Category Selection.
3.5 Distribution Shapes.
Chapter 4 Measures of Location.
4.4 Trimmed Mean.
4.5 Overall Example and Comparison.
4.6 Weighted and Unweighted Average.
4.7 Simpson’s Paradox.
4.9 Percentile Bars.
Chapter 5 Measures of Variability.
5.1 Importance of Knowing Variability.
5.2 Population and Sample.
5.3 Types of Samples.
5.4 Standard Deviation.
5.5 Coefficient f Variation.
5.8 Comparison and Summary.
Chapter 6 Model Building.
6.1 Prelude to Models.
6.3 Scientific Method.
6.5 Model Building Process.
Chapter 7 Linear Model.
7.2 Straight Line Basics.
7.3 Fitting the Line to the Data.
7.4 Model Evaluation.
7.5 Summary of Interpretations and Evaluation.
7.7 Digging Deeper.
7.8 Keep the Horse Before the Cart.
Chapter 8 Exponential Model.
8.3 Exponential Model.
8.4 Model Evaluation.
Chapter 9 Maturity Curve Model.
9.1 Maturity Curves.
9.2 Building the Model.
9.3 Comparison of Models.
Chapter 10 Power Model.
10.1 Building the Model.
10.2 Model Evaluation.
Chapter 11 Market Models and Salary Survey Analysis.
11.2 Commonalities of Approaches.
11.3 Final Market-Based Salary Increase Budget.
11.4 Other Factors Influencing the Final Salary Increase Budget Recommendation.
11.5 Salary Structure.
Chapter 12 Integrated Market Model – Linear.
12.1 Gather Market Data.
12.2 Age Data to a Common Date.
12.3 Create an Integrated Market Model Interpretations.
12.4 Compare Employee Pay with Market Model.
Chapter 13 Integrated Market Model – Exponential.
Chapter 14 Integrated Market Model – Maturity Curve.
Chapter 15 Job Pricing Market Model – Group of Jobs.
Chapter 16 Job Pricing Market Model – Power Model.
Chapter 17 Multiple Linear Regression.
17.1 What It Is.
17.2 Similarities and Differences with Simple Linear Regression.
17.3 Building the Model.
17.4 Model Evaluation.
17.5 Mixed Messages in Evaluating a Model.
17.6 Summary of Regressions.
17.7 Digging Deeper.
A.1 Value Exchange Theory.
A.2 Factors Determining a Person’s Pay.
A.3 Types of Numbers.
A.4 Significant Figures.
A.5 Scientific Notation.
A.6 Accuracy and Precision.
A.7 Compound Interest – Additional.
A.8 Rule of 72.
A.9 Normal Distribution.
A.10 Linear Regression Technical Note.
A.11 Formulas for Regression Terms.
A.12 Logarithmic Conversion.
A.13 Range Spread Relationships.
A.14 Statistical Inference in Regression.
A.15 Additional Multiple Linear Regression Topics.
Answers to Practice Problems.
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