Table of Contents

PREFACE 1. INTRODUCTION Introduction / The Tools of Statistics / A Brief Course Outline 2. STATISTICAL RELATIONSHIPS: A FIRST LOOK Introduction / Fitting the Model y = b0 + b1x / The Sample Correlation Coefficient / Fitting Curvilinear Relationships / Summary 3. SAMPLES AND SAMPLE VARIATION Introduction / Methods of Sampling / Summarizing a Sample / Measuring Location and Dispersion (An Introduction) / Summary 4. PROBABILITY MODELS: AN INTRODUCTION Introduction / Discrete Probability Models / Continuous Probability Models / Summary 5. THE NORMAL CURVE Introduction / The Standard Normal Curve / The Z Transformation / The Central Limit Theorem / Summary / Normal Plots 6. THE BINOMIAL DISTRIBUTION Introduction / The Binomial Model / Using Normal Curves to Approximate Binomial Probabilities / Summary 7. THE HYPERGEOMETRIC, POISSON, AND EXPONENTIAL DISTRIBUTIONS Introduction / The Hypergeometric Distribution / The Poisson and Exponential Distributions / Summary / Proof of Theorem 7.3.4 8. MEANS AND STANDARD DEVIATIONS Introduction / Expected Value / The Population Standard Deviation / Summary / A Proof of Chebyshev?s Inequality (Theorem 8.3.1) 9. ESTIMATING PARAMETERS Introduction / The Method of Maximum Likelihood / Estimators / Margin of Error and Sample Size Determination / Summary 10. PRINCIPLES OF INFERENCE Introduction / Testing Hypotheses About u (Normal Data) / Confidence Intervals for u / Drawing Inferences About o2 / Binomial Data: Inferences About p / Poisson Data: Inferences About l / Summary 11. SOME COMMON TYPES OF DATA Introduction / Seven Common Experimental Designs / Summary 12. COMPARING MEANS Introduction / The Two-sample t Test / Testing H0: u1 = u2 = / / / = uk: The One-Way Analysis of Variance / The Paired t Test / Analyzing Randomized Block Data / Summary 13. STATISTICAL RELATIONSHIPS: A SECOND LOOK Introduction / The Simple Linear Model / Analyzing Categorical Data: The X2 Test for Independence / Summary 14. MULTIPLE REGRESSION Introduction / Least Squares Estimation / Hypothesis Testing / Model Building / Prediction Intervals and Influential Observations / Summary 15. TIME SERIES AND INDEX NUMBERS Introduction / Fitting a Time Series Model / Smoothing a Time Series / Simple and Composite Indexes / Weighted Composite Index Numbers / Summary 16. QUALITY CONTROL Introduction / X-charts / R-charts and S-charts / Other Control Charts / Specification Limits Versus Control Limits / Acceptance Sampling / Summary / APPENDIX A TABLES / BIBLIOGRAPHY / ANSWERS TO ODD-NUMBERED EXERCISES / INDEX