Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences(English, Paperback, Milton J. Susan)
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Salient Features New and retained examples and exercises are chosen specifically for students in engineering and computer science. Students can work on problems within a context that is familiar and interesting to them. Students gain understanding of the logic behind the techniques as well as practice using them due to the authors' approach. Because of this, students are better able to retain the information and are better prepared to apply the techniques in this and future courses. Data sets for examples and problems are provided in electronic format for use with the most popular statistical packages. Students do not have to waste valuable time entering data and data-entry errors are eliminated. References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. Student Solutions Manual and an Instructor's Manual are available. Some of the more difficult derivations have been moved to an appendix. Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control