Description
This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory, and the authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. – References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages. – 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.
