WorldatWork Quantitative Methods : T3 exam

T3
  • Exam Code: T3
  • Exam Name: Quantitative Methods
  • Updated: Jul 30, 2026
  • Q & A: 0 Questions and Answers

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WorldatWork T3 Exam Syllabus Topics:

SectionWeightObjectives
Inferential & Predictive Statistics25%- Regression Analysis
  • 1. Multiple regression concepts
    • 2. Simple linear regression
      • 3. Using regression for market pricing
        - Probability & Sampling
        • 1. Basic probability rules
          • 2. Sampling methods and error
            - Correlation Analysis
            • 1. Linear correlation coefficients
              • 2. Interpretation of correlation strength
                Foundations of Quantitative Analysis20%- Mathematics for Compensation
                • 1. Compound growth and annuities
                  • 2. Time value of money
                    • 3. Percentages, ratios, and proportions
                      - Data Collection & Presentation
                      • 1. Frequency distributions
                        • 2. Graphical representation of data
                          • 3. Populations vs samples
                            Descriptive Statistics25%- Measures of Central Tendency
                            • 1. Mean, median, mode
                              • 2. Weighted averages
                                - Distribution Shapes
                                • 1. Normal distribution
                                  • 2. Skewness and kurtosis
                                    - Measures of Variability
                                    • 1. Range, interquartile range
                                      • 2. Variance and standard deviation
                                        • 3. Z-scores and percentiles
                                          Application to Compensation Design30%- Pay Structure Development
                                          • 1. Grade progression and overlap
                                            • 2. Compa-ratio and range penetration
                                              • 3. Midpoints, ranges, and spread
                                                - Market Data Analysis
                                                • 1. Aging and adjusting survey data
                                                  • 2. Calculating market benchmarks
                                                    - Quantitative Decision Making
                                                    • 1. Modeling variable pay and incentives
                                                      • 2. Evaluating compensation program costs

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