One of the key uses of descriptive statistics is to summarize data, rather than use the data to learn about the population that the data represents. This important reference offers scientists and engineers an introduction to descriptive statistics with an emphasis on scientific and engineering applications. The book provides a thorough introduction to data scales, data transformations and popular data discretization techniques as well as sampling distributions, joint and conditional distributions, statistical quality control, reliability analysis and failure modes. The book includes data sets, illustrative examples, end-of-chapter exercises as well as new algorithms and equations not available anywhere else.