Miller and Freund's probability and statistics for engineers (Record no. 12526)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02470nam a22001937a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789332550414 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 |
| Item number | JOH/MI |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Author name | Johnson, Richard A |
| 245 ## - TITLE STATEMENT | |
| Title | Miller and Freund's probability and statistics for engineers |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 8 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Noida |
| Name of publisher | Pearson |
| Date of publication | 2015 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 524p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book is designed for an introductory course in probability and statistics for students of engineering and physical sciences. It is rich in exercises and examples. Each chapter begins with an introductory statement and checklist of key terms and concludes with a set of statistical guidelines for correctly applying statistical procedures. FEATURES : Clear, concise presentation helps students quickly gain an understanding of the concepts. Rich problem sets give students the practice they need to learn the material. Do's and Don'ts at the end of each chapter help students to apply statistics correctly to avoid misuses. Computer exercises for MINITAB?? help students learn and become familiar with this software. Many data sets are drawn from author Richard Johnson's own consulting activities as well as discussions with scientists and engineers about their statistical problems. This helps illustrate the statistical methods and reasoning required in order to draw generalizations from data collected in actual experiments. Case studies in the first two chapters illustrate the power of even simple statistical methods to suggest changes that make major improvements in production processes. Graphs of the sampling distribution show the critical region and P value, and accompany the examples of testing hypotheses. These graphs help reinforce student understanding of the critical region, significance level, and P value. Summary tables of testing procedures provide a convenient reference for students. A section on graphic presentation of 22 and 23 designs includes coverage of blocking. This serves as a stand-alone introduction to the design of experiments for those instructors who can only devote two or three lectures to the subject. Solid treatment of confidence interval techniques and hypothesis testing procedures, which clearly and consistently delineates the steps for hypothesis testing in each application. Clear, current coverage of two-level factorial design. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject term | Engineering--Statistical methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject term | Probabilities |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Miller, Irwin |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Freund, John |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Home library | Current library | Date acquired | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|
| CDST Pookode | CDST Pookode | 24/11/2023 | 519.5 JOH/MI | DST137 | Books |