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This introductory text covers applied statistics and probability for undergraduate students in engineering and the natural sciences. The book begins at a level that is suitable for those with no previous exposure to probability and statistics and carries readers through to a level of proficiency in various techniques of statistics. Both descriptive and inferential statistics are emphasized, and the authors uniquely discuss descriptive statistics first and then continue with an elementary discussion of the fundamentals of probability theory underlying many of the presented statistical techniques. A wide range of statistical techniques are addressed, including statistical estimation, regression methods, statistical quality control (with emphasis on phase I and phase II control charts), process capability indices, non-parametric methods, and elements of reliability theory. Design of experiments is also addressed and includes discussion on randomized block designs, one- and two-way designs, latin square designs, response surface designs, and 2k factorial designs. All statistical concepts are supported by a large number of examples using data encountered in real-world situations. In addition, the authors illustrate how the statistical packages Minitab (R) and Microsoft Office Excel(R) can be used to aid in the analysis of various data sets.
