Includes index.

Introduction to data collection -- Presenting data in tables and charts -- Numerical descriptive measures -- Basic probability -- Some important discrete probability distributions -- The normal distribution and other continuous distributions -- Sampling distributions -- Confidence interval estimation -- Fundamentals of hypothesis testing: One-sample tests -- Two-sample tests with numerical data -- Analysis of variance -- Test for two or more samples with categorical data -- Simple linear regression -- Introduction to multiple regression -- Multiple regression model building -- Time-series analysis -- Decision making -- Statistical applications in quality and productivity management.