Introduction To Probability And Statistics4Ed

by Milton Susan J (Author)

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Synopsis of Introduction To Probability And Statistics4Ed

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. 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.
Key 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.
Do you have lots of Engineering and Computer Science majors? Do you like to use specific examples that relate to their field of study?
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.
Are you looking for a text that helps to reinforce the logic along with the techniques?
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.
Do you like to use Data sets? Do you find that problems arise when students have to manually enter the data sets?
References to statistical analysis packages have been added. This enables students to see how the techniques are applied by using these popular packages.
Would you like your students to see references to popular statistical analysis packages?
Student Solutions Manual and an Instructor's Manual are available.
Some of the more difficult derivations have been moved to an appendix.
Gives the book a more applied feel while retaining the conceptual material for those who wish to use it.
Discussion of Tukey's method of paired comparisons and a section on the use of tolerance limits in quality control