Essential Statistics

Author:   William Navidi ,  Barry Monk
Publisher:   McGraw-Hill Education
Edition:   3rd edition
ISBN:  

9781260359794


Publication Date:   16 April 2021
Format:   Hardback
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Essential Statistics


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Overview

Essential Statistics, 3rd Edition, is designed for an introductory course in statistics. The mathematical prerequisite is basic algebra. In addition to presenting the mechanics of the subject, the authors have endeavored to explain the concepts behind them in a straightforward, clear, and engaging writing style. As practicing statisticians, the authors have done everything possible to ensure that the material is accurate and correct. This text will enable instructors to explore statistical concepts in depth yet remain easy for students to read and understand.

Full Product Details

Author:   William Navidi ,  Barry Monk
Publisher:   McGraw-Hill Education
Imprint:   McGraw-Hill Education
Edition:   3rd edition
Dimensions:   Width: 22.40cm , Height: 2.80cm , Length: 28.50cm
Weight:   1.443kg
ISBN:  

9781260359794


ISBN 10:   1260359794
Publication Date:   16 April 2021
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Chapter 1: Basic Ideas Chapter 2: Graphical Summaries of Data Chapter 3: Numerical Summaries of Data Chapter 4: Probability Chapter 5: Discrete Probability Distributions Chapter 6: The Normal Distribution Chapter 7: Confidence Intervals Chapter 8: Hypothesis Testing Chapter 9: Inferences on Two Samples Chapter 10: Tests with Qualitative Data Chapter 11: Correlation and Regression

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Author Information

William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has authored more than 50 research papers, both in statistical theory and in a wide variety of applications, including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics. Barry Monk received a B.S. in mathematical statistics, an M.A. in mathematics specializing in optimization and statistics, and a Ph.D. in applied mathematics, all from the University of Alabama. Dr. Monk is a professor of mathematics at Middle Georgia State University in Macon, Georgia, where he has been employed since 2001. Dr. Monk was asked to serve as program coordinator of mathematics after only two years at Macon State College; he led the development of the bachelor's degree in mathematics program and the organization of the Southeastern Scholarship Conference on E-Learning for more than 10 years. He has been teaching introductory statistics since 1992 in the classroom and online.

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