**Author**: Martin Buntinas,Gerald Marlowe Funk

**Publisher:**Duxbury Press

**ISBN:**N.A

**Category:**Mathematics

**Page:**535

**View:**2298

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# Search Results for: statistics-for-the-sciences

**Author**: Martin Buntinas,Gerald Marlowe Funk

**Publisher:** Duxbury Press

**ISBN:** N.A

**Category:** Mathematics

**Page:** 535

**View:** 2298

If you are majoring in the sciences, this is the statistics textbook for you. STATISTICS FOR THE SCIENCES helps you see the beauty of statistics using calculus, and contains applications directly tied to natural and physical sciences. In STATISTICS FOR THE SCIENCES, the math is at the right level, and the exercises and examples appeal to those majoring in natural and physical sciences.

**Author**: Jay Devore

**Publisher:** Cengage Learning

**ISBN:** 0538733527

**Category:** Mathematics

**Page:** 768

**View:** 5557

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES evidences Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Aided by his lively and realistic examples, students go beyond simply learning about statistics--they also learn how to put statistical methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

**Author**: William Mendenhall,Terry Sincich

**Publisher:** Prentice Hall

**ISBN:** N.A

**Category:** Mathematics

**Page:** 1060

**View:** 2102

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.

**Author**: William M. Mendenhall,Terry L. Sincich

**Publisher:** CRC Press

**ISBN:** 1498728871

**Category:** Mathematics

**Page:** 1166

**View:** 2434

Prepare Your Students for Statistical Work in the Real World Statistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the statistical methods necessary for real-world applications. Students will understand how to collect and analyze data and think critically about the results. New to the Sixth Edition Many new and updated exercises based on contemporary engineering and scientific-related studies and real data More statistical software printouts and corresponding instructions for use that reflect the latest versions of the SAS, SPSS, and MINITAB software Introduction of the case studies at the beginning of each chapter Streamlined material on all basic sampling concepts, such as random sampling and sample survey designs, which gives students an earlier introduction to key sampling issues New examples on comparing matched pairs versus independent samples, selecting the sample size for a designed experiment, and analyzing a two-factor experiment with quantitative factors New section on using regression residuals to check the assumptions required in a simple linear regression analysis The first several chapters of the book identify the objectives of statistics, explain how to describe data, and present the basic concepts of probability. The text then introduces the two methods for making inferences about population parameters: estimation with confidence intervals and hypothesis testing. The remaining chapters extend these concepts to cover other topics useful in analyzing engineering and scientific data, including the analysis of categorical data, regression analysis, model building, analysis of variance for designed experiments, nonparametric statistics, statistical quality control, and product and system reliability.

**Author**: Jay L. Devore

**Publisher:** Thomson Brooks/Cole

**ISBN:** N.A

**Category:** Mathematical statistics

**Page:** 743

**View:** 6537

This best-selling text is intended for applied introductory probability and statistics courses taken by students in engineering and the physical sciences (calculus prerequisite). It emphasizes models, methodology, and applications, rather than rigorous mathematical development and theory. It features real data in exercises and examples. Also includes: -- A chapter on joint probability distributions that introduces the concept of a statistic and its sampling distribution -- Many real-data sets throughout -- Strong coverage of computer-based methods, especially in analysis of variance and regression -- Increased coverage of data analysis in Chapter One -- Simulation experiments and bootstrapping techniques (Ch. 5) -- Updated material on quality control

**Author**: N.A

**Publisher:** Rex Bookstore, Inc.

**ISBN:** 9789712322327

**Category:**

**Page:** N.A

**View:** 420

**Author**: William M. Mendenhall,Terry L. Sincich,Nancy S. Boudreau

**Publisher:** CRC Press

**ISBN:** 1498731996

**Category:** Mathematics

**Page:** 458

**View:** 309

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**: CTI Reviews

**Publisher:** Cram101 Textbook Reviews

**ISBN:** 1497027667

**Category:** Education

**Page:** 57

**View:** 5074

Facts101 is your complete guide to Statistics for The Sciences. In this book, you will learn topics such as PROBABILITY, DISCRETE RANDOM VARIABLES, RANDOM VARIABLES FOR SUCCESS/FAILURE EXPERIMENTS, and INTRODUCTION TO HYPOTHESIS TESTING plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

**Author**: Jay Devore

**Publisher:** Cengage Learning

**ISBN:** 0495557447

**Category:** Mathematics

**Page:** 768

**View:** 6812

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

**Author**: Jay Devore

**Publisher:** Cengage Learning

**ISBN:** 0495382175

**Category:** Mathematics

**Page:** 768

**View:** 808

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
*Statistics, Statistics*

**Author**: CTI Reviews

**Publisher:** Cram101 Textbook Reviews

**ISBN:** 1467201448

**Category:** Education

**Page:** 88

**View:** 8966

Facts101 is your complete guide to Probability and Statistics for Engineering and the Science. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

**Author**: Matthew A. Carlton

**Publisher:** Brooks/Cole

**ISBN:** 9780495382195

**Category:** Mathematics

**Page:** 283

**View:** 8251

Check your work-and your understanding-with this manual, which provides worked-out solutions to the odd-numbered problems in the text.

**Author**: Judah Rosenblatt

**Publisher:** CRC Press

**ISBN:** 9781584881476

**Category:** Mathematics

**Page:** 296

**View:** 1202

The use of statistics in biology, medicine, engineering, and the sciences has grown dramatically in recent years and having a basic background in the subject has become a near necessity for students and researchers in these fields. Although many introductory statistics books already exist, too often their focus leans towards theory and few help readers gain effective experience in using a standard statistical software package. Designed to be used in a first course for graduate or upper-level undergraduate students, Basic Statistical Methods and Models builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations, thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book, giving readers valuable experience with computer simulation and problem-solving techniques. The author focuses on applications and the models appropriate to each problem while emphasizing Monte Carlo methods, the Central Limit Theorem, confidence intervals, and power functions. The text assumes that readers have some degree of maturity in mathematics, but it does not require the use of calculus. This, along with its very clear explanations, generous number of exercises, and demonstrations of the extensive uses of statistics in diverse areas applications make Basic Statistical Methods and Models highly accessible to students in a wide range of disciplines.
*Putting the Science of Baseball Statistics to Work*

**Author**: Gabriel B. Costa,,Michael R. Huber,John T. Saccoman

**Publisher:** McFarland

**ISBN:** 0786454466

**Category:** Sports & Recreation

**Page:** 240

**View:** 2720

The past 30 years have seen an explosion in the number and variety of baseball books and articles. Following the lead of pioneers Bill James, John Thorn, and Pete Palmer, researchers have steadily challenged the ways we think about player and team performance—and along the way revised what we thought we knew of baseball history. This book by the authors of Understanding Sabermetrics (2008) goes beyond the explanation of new statistics to demonstrate their use in solving some of the more familiar problems of baseball research, such as how to compare players across generations; how to account for the effects of ballparks and rules changes; and how to measure the effectiveness of the sacrifice bunt or the range of the Gold Glove–winning shortstop. Instructors considering this book for use in a course may request an examination copy here.

**Author**: Sheldon M. Ross

**Publisher:** Elsevier

**ISBN:** 9780080470313

**Category:** Mathematics

**Page:** 640

**View:** 2537

Introduction to Probability and Statistics for Engineers and Scientists, Third Edition, provides an introduction to applied probability and statistics for engineering or science majors . This updated text emphasizes the manner in which probability yields insight into statistical problems, ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. The Third Edition includes new exercises, examples, homework problems, updated statistical material, and more. New exercises and data examples include: the one-sided Chebyshev inequality for data; logistics distribution and logistic regression; estimation and testing in proofreader problems; and product form estimates of life distributions. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and the enclosed CD-ROM includes unique, easy-to-use software that automates the required computations. This book is intended primarily for undergraduates in engineering and the sciences, and would be of particular interest to students in Industrial Engineering, Operations Research, Statistics, Mathematics, Computer Science, Electrical Engineering, Civil Engineering, Chemical Engineering, and Quantitative Business. It could also be of value in a graduate introductory course in probability and statistics. New in this edition: * New exercises and data examples including: - The One-sided Chebyshev Inequality for Data - The Logistics Distribution and Logistic Regression - Estimation and Testing in proofreader problems - Product Form Estimates of Life Distributions - Observational Studies * Updated statistical material * New, contemporary applications Hallmark features: * Reflects Sheldon Ross's masterfully clear exposition * Contains numerous examples, exercises, and homework problems * Unique, easy-to-use software automates required computations * Applies probability theory to everyday statistical problems and situations * Careful development of probability, modeling, and statistical procedures leads to intuitive understanding * Instructor's Solutions Manual is available to adopters
*An Introduction*

**Author**: Brian Martin

**Publisher:** Academic Press

**ISBN:** 0123877652

**Category:** Mathematics

**Page:** 320

**View:** 8330

Statistics for Physical Sciences is an informal, relatively short, but systematic, guide to the more commonly used ideas and techniques in statistical analysis, as used in physical sciences, together with explanations of their origins. It steers a path between the extremes of a recipe of methods with a collection of useful formulas, and a full mathematical account of statistics, while at the same time developing the subject in a logical way. The book can be read in its entirety by anyone with a basic exposure to mathematics at the level of a first-year undergraduate student of physical science and should be useful for practising physical scientists, plus undergraduate and postgraduate students in these fields. Offers problems at the end of each chapter Features worked examples across all of the chapters Provides a collection of useful formulas in order to give a detailed account of mathematical statistics

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