Introduction To Probability And Statistics for Scientists and Engineers (McGraw-Hill Series in Probability and Statistics) - Hardcover

Rosenkrantz, Walter

9780070539884: Introduction To Probability And Statistics for Scientists and Engineers (McGraw-Hill Series in Probability and Statistics)

Hardcover

ISBN 10: 007053988X ISBN 13: 9780070539884

Publisher: McGraw-Hill Education, 1997

This modern text presents the fundamental ideas of probability theory and statistics with an abundance of applications relating to topics such as reliability, queuing theory, and computer performance analysis. Along with thorough coverage of the traditional topics of a first course in statistics, this new text emphasizes modeling, displaying, interpreting, and collecting data for a variety of scientific and engineering applications.

"synopsis" may belong to another edition of this title.

From the Publisher:

Early emphasis on data analysis (chapter 1) provides students with a visual representation of data and prepares them to make meaningful statistical inferences based on visual and computational results in later chapters.
Utilization of real data from a variety of sources, such as engineering and computer science, reinforces the relevance of statistics and probability to your students' particular area of academic interest.
Careful data analysis is stressed by the use of a smaller number of data sets. As practicing scientists do in the real world, students learn to apply a variety of statistical techniques to a single data set.
Equal treatment is given to the classical approach and the confidence interval approach to hypothesis testing.

Synopsis:

This text presents the fundamental ideas of probability theory and statistics, with numerous applications to engineering and computer science relating to topics such as reliability, queuing theory and computer performance analysis. The value of data analysis as a set of visual tools is stressed, and many of the examples, applications and problems utilize real data from a variety of sources. A smaller number of modern data sets are analyzed using a variety of statistical methods.

"About this title" may belong to another edition of this title.