Overview
- Discusses the basics of probability and topics such as confidence intervals, hypothesis testing, and linear regression
- Provides exercises and solutions so that readers can practice the applications of the concepts
- Presents topics in a one semester format, suitable for engineers, scientists, and STEM students
Part of the book series: Synthesis Lectures on Mathematics & Statistics (SLMS)
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Table of contents (7 chapters)
Keywords
About this book
This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts.
Authors and Affiliations
About the authors
John G. DelGreco, Ph.D., is an Associate Professor of Mathematics and Statistics at Loyola University Chicago. He holds a B.S. in mathematics from John Carroll University, an M.A. in mathematics from the University of Massachusetts, and a Ph.D. in industrial engineering from Purdue University. Before joining Loyola's faculty in 1987, Dr. DelGreco worked as a systems analyst for Micro Data Base Systems, Inc., located in Lafayette, Indiana. His research interests include applied graph theory, operations research, network flows, and parallel algorithms.
Bibliographic Information
Book Title: Probability and Statistics for STEM
Book Subtitle: A Course in One Semester
Authors: Emmanuel N. Barron, John G. Del Greco
Series Title: Synthesis Lectures on Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-031-38985-6
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-38984-9Published: 02 April 2024
Softcover ISBN: 978-3-031-38987-0Due: 03 May 2024
eBook ISBN: 978-3-031-38985-6Published: 01 April 2024
Series ISSN: 1938-1743
Series E-ISSN: 1938-1751
Edition Number: 2
Number of Pages: XVII, 289
Number of Illustrations: 2 b/w illustrations, 23 illustrations in colour
Topics: Mathematics, general, Mathematical Logic and Foundations, Applications of Mathematics, Statistics, general, Applied Statistics, Engineering Mathematics