Solutions Manual for Statistics, Probability, Inference, and Decision
Author | : William Lee Hays |
Publisher | : |
Total Pages | : 149 |
Release | : 1971 |
Genre | : Mathematical statistics |
ISBN | : 9780030862120 |
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Author | : William Lee Hays |
Publisher | : |
Total Pages | : 149 |
Release | : 1971 |
Genre | : Mathematical statistics |
ISBN | : 9780030862120 |
Author | : Robert V. Hogg |
Publisher | : Prentice Hall |
Total Pages | : 145 |
Release | : 2000-09-14 |
Genre | : Probabilities |
ISBN | : 9780130274298 |
Author | : Marilyn K. Pelosi |
Publisher | : Wiley |
Total Pages | : 107 |
Release | : 2000-01-06 |
Genre | : Mathematics |
ISBN | : 9780471140115 |
This text teaches readers the basic techniques for analyzing data to make business decisions. Each chapter of the book begins with a "story". The story tells of a business problem that needs to be solved and describes the data that were collected to help solve the problem. The exercises which are presented in the chapter are tied to that story and are threaded throughout the chapter. The reader is then left to finish the analysis for the story problem. Sample output from Excel, as well as keystroke and menu instructions are featured throughout the book.
Author | : Nitis Mukhopadhyay |
Publisher | : CRC PressI Llc |
Total Pages | : |
Release | : 2006-02-01 |
Genre | : Mathematics |
ISBN | : 9780849391705 |
Author | : Brigitte Baldi |
Publisher | : Macmillan |
Total Pages | : 259 |
Release | : 2011-02-04 |
Genre | : Mathematics |
ISBN | : 1429266856 |
This is an introduction to the uses and applications of statistics in the life sciences with a data analysis approach. The book provides step-by-step solutions along with summaries of the key concepts needed to solve the problems.
Author | : George Casella |
Publisher | : CRC Press |
Total Pages | : 1746 |
Release | : 2024-05-23 |
Genre | : Mathematics |
ISBN | : 1040024025 |
This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Author | : William Lee Hays |
Publisher | : |
Total Pages | : 972 |
Release | : 1971 |
Genre | : Mathematics |
ISBN | : |
Author | : Edward Clark Bryant |
Publisher | : |
Total Pages | : 56 |
Release | : 1960 |
Genre | : Mathematical statistics |
ISBN | : |