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| Author | : William M. Mendenhall |
| Publisher | : CRC Press |
| Total Pages | : 458 |
| Release | : 2016-11-17 |
| Genre | : Mathematics |
| ISBN | : 1498731856 |
A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.
| Author | : William Cyrus Navidi |
| Publisher | : McGraw-Hill |
| Total Pages | : 936 |
| Release | : 2008 |
| Genre | : Bootstrap (Statistics) |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2017 |
| Genre | : |
| ISBN | : 9781337762021 |
| Author | : John J. Kinney |
| Publisher | : Pearson |
| Total Pages | : 0 |
| Release | : 2002 |
| Genre | : Mathematical statistics |
| ISBN | : 9780201437201 |
Statistics for Science and Engineering was written for an introductory one or two semester course in probability and statistics for junior or senior level students. It is an introduction to the statistical analysis of data that arise from experiments, sample surveys, or other observational studies. It focuses on topics that are frequently used by scientists and engineers, particularly the topics of regression, design of experiments, and statistical process control. Graphs and Statistics, Random Variables and Probability Distributions, Estimation and Hypothesis Testing, Simple Linear Regression-Summarizing Data with Equations, Multiple Linear Regression, Design of Science and Engineering Experiments, Statistical Process Control For all readers interested in statistics for science and engineering.
| Author | : William Mendenhall |
| Publisher | : |
| Total Pages | : 1036 |
| Release | : 1989 |
| Genre | : |
| ISBN | : 9780029461433 |
| Author | : Sheldon M. Ross |
| Publisher | : |
| Total Pages | : 532 |
| Release | : 1987 |
| Genre | : Mathematics |
| ISBN | : |
Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.
| Author | : Peter R. Nelson |
| Publisher | : Academic Press |
| Total Pages | : 528 |
| Release | : 2003-08-14 |
| Genre | : Mathematics |
| ISBN | : 0125154232 |
A concise treatment for undergraduate and graduate students who need a guide to statistics that focuses specifically on engineering.
| Author | : William Navidi |
| Publisher | : McGraw-Hill Science/Engineering/Math |
| Total Pages | : 928 |
| Release | : 2010-01-27 |
| Genre | : Technology & Engineering |
| ISBN | : 9780073376332 |
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
| Author | : Ronald E. Walpole |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2017 |
| Genre | : Engineering |
| ISBN | : 9780134115856 |
For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book. Also available with MyStatLab MyStatLab(tm) is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. Note: You are purchasing a standalone product; MyLab(tm) & Mastering(tm) does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134468910 / 9780134468914 Probability & Statistics for Engineers & Scientists, MyStatLab Update with MyStatLab plus Pearson eText -- Access Card Package 9/e Package consists of: 0134115856 / 9780134115856 Probability & Statistics for Engineers & Scientists, MyStatLab Update 0321847997 / 9780321847997 My StatLab Glue-in Access Card 032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages
| Author | : Hongshik Ahn |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2022-11-26 |
| Genre | : |
| ISBN | : |
Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. The first chapter introduces methods for describing statistics. Over the course of the subsequent eight chapters students will learn about probability, discrete and continuous distributions, multiple random variables, point estimation and testing, and inferences based on one and two samples. The book features a comprehensive table for each type of test to help students choose appropriate statistical tests and confidence intervals. Based on years of classroom experience and extensively class-tested, Probability and Statistics for Science and Engineering with Examples in R is designed for one-semester courses in probability and statistics, and specifically for students in the natural sciences or engineering. The material is also suitable for business and economics students who have studied calculus.
