Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP. Bhisham C. Gupta

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      The right of Bhisham C. Gupta, Irwin Guttman, Kalanka P. Jayalath to be identified as the author of this work has been asserted in accordance with law.

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       Library of Congress Cataloging‐in‐Publication Data

      Names: Gupta, Bhisham C., 1942- author. | Guttman, Irwin, author. |

      Jayalath, Kalanka P., author.

      Title: Statistics and probability with applications for engineers and

      scientists using Minitab, R and JMP / Bhisham C. Gupta, Irwin Guttman,

      Kalanka P. Jayalath.

      Other titles: Statistics and probability with applications for engineers

      and scientists

      Description: Second edition. | Hoboken : Wiley, 2020. | Revision of:

      Statistics and probability with applications for engineers and

      scientists. 2013. | Includes bibliographical references and index.

      Identifiers: LCCN 2019035384 (print) | LCCN 2019035385 (ebook) | ISBN

      9781119516637 (cloth) | ISBN 9781119516644 (adobe pdf) | ISBN

      9781119516620 (epub)

      Subjects: LCSH: Probabilities. | Mathematical statistics.

      Classification: LCC QA273 .G85 2020 (print) | LCC QA273 (ebook) | DDC

      519.5–dc23

      LC record available at https://lccn.loc.gov/2019035384

      LC ebook record available at https://lccn.loc.gov/2019035385

      Cover Design: Wiley

      Cover Image: © ioat/Shutterstock

       In the loving memory of my parents, Roshan Lal and Sodhan Devi

      ‐Bhisham

       In the loving memory of my parents, Anna and Samuel Guttman

      ‐Irwin

       In the loving memory of my parents, Premadasa Jayalath and Chandra Unanthanna

      ‐Kalanka

Modern statisticians are familiar with the notion that any finite body of data contains only a limited amount of information on any point under examination; that this limit is set by the nature of the data themselves, and cannot be increased by any amount of ingenuity expended in their statistical examination: that the statistician's task, in fact, is limited to the extraction of the whole of the available information on any particular issue.

      R. A. Fisher

Preface

      AUDIENCE

      This is an introductory textbook in applied statistics and probability for undergraduate students in engineering and the natural sciences. It begins at a level suitable for those with no previous exposure to probability and statistics and carries the reader through to a level of proficiency in various techniques of statistics. This text is divided into two parts: Part I discusses descriptive statistics, concepts of probability, probability distributions, sampling distributions, estimation, and testing of hypotheses, and Part II discusses various topics of applied statistics, including some reliability theory, data mining, cluster analysis, some nonparametric techniques, categorical data analysis, simple and multiple linear regression analysis, design and analysis of variance with emphasis on

factorial designs, response surface methodology, and statistical quality control charts of phase I and phase II.

      This text is suitable for a one‐ or two‐semester undergraduate course sequence. The presentation of material gives instructors a lot of flexibility to pick and choose topics they feel should make up the coverage of material for their courses. However, we feel that in the first course for engineers and science majors, one may cover Chapter 1 and 2, a brief discussion of probability in 3, selected discrete and continuous distributions from Chapter 4 and 5 with more emphasis on normal distribution, Chapter 7–9, and couple of topics from Part II that meet the needs and interests of the particular group of students. For example, some discussion of the material СКАЧАТЬ