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Essential Statistics

ISBN10: 1264664133 | ISBN13: 9781264664139

Essential Statistics

Essential Statistics

ISBN10: 1264664133
ISBN13: 9781264664139
By William Navidi and Barry Monk
2025 Release

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ISBN10: 1264664133 | ISBN13: 9781264664139
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ISBN10: 126693510X | ISBN13: 9781266935107
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Textbook Rental (150 Days Access)

ISBN10: 1264664133 | ISBN13: 9781264664139

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  • Hardcopy and softcover formats

Loose-Leaf Purchase

ISBN10: 126693510X | ISBN13: 9781266935107

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  • Unbound loose-leaf version of full text

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Essential Statistics 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.

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

About the Author

William Navidi

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

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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