Title Page; Copyright Page; Dedication; Preface; Acknowledgments; Table of Contents; CHAPTER 1 -- Introduction; 1. INTRODUCTION; 2. AN EXAMPLE; 3. PRINCIPLES USED IN DECISION MAKING; 4. SUMMARY; SUGGESTED READINGS; CHAPTER 2 -- Data Processing; 1. INTRODUCTION; 2. DATA REPRESENTATION; 3. GRAPHICAL REPRESENTATIONS: HISTOGRAM; 4. GRAPHICAL REPRESENTATIONS: CUMULATIVE FREQUENCY POLYGON; 5. DESCRIPTIVE MEASURES: SUMMATION; 6. DESCRIPTIVE MEASURES: SAMPLE MEAN AND VARIANCE; 7. SIMPLIFIED COMPUTATION SCHEME FOR SAMPLE MEAN AND STANDARD DEVIATION USING GROUPED DATA; 8. SUMMARY; SUGGESTED READINGS.;This well-known and highly respected introduction to decision theory was developed at Stanford University. It furnishes a simple and clear-cut method of exhibiting the fundamental aspects of statistical problems. Beginners will find this treatment a motivating introduction to important mathematical notions such as set, function, and convexity.