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Loose Leaf for Statistics for Engineers and Scientists 6th ed. [köitmata]

  • Formaat: Loose-leaf, 960 pages, kõrgus x laius x paksus: 234x198x33 mm, kaal: 1197 g
  • Ilmumisaeg: 20-Jan-2023
  • Kirjastus: OM Books International
  • ISBN-10: 1265875855
  • ISBN-13: 9781265875855
Teised raamatud teemal:
Loose Leaf for Statistics for Engineers and Scientists 6th ed.
  • Formaat: Loose-leaf, 960 pages, kõrgus x laius x paksus: 234x198x33 mm, kaal: 1197 g
  • Ilmumisaeg: 20-Jan-2023
  • Kirjastus: OM Books International
  • ISBN-10: 1265875855
  • ISBN-13: 9781265875855
Teised raamatud teemal:
"The idea for this book grew out of discussions between the statistics faculty and the engineering faculty at the Colorado School of Mines regarding our introductory statistics course for engineers. Our engineering faculty felt that the students needed substantial coverage of propagation of error, as well as more emphasis on modelfitting skills. The statistics faculty believed that students needed to become more aware of some important practical statistical issues such as the checking of model assumptions and the use of simulation"--

Statistics for Engineers and Scientists stands out for its clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

The new edition of Statistics for Engineers and Scientists is also available in McGraw Hill Connect, featuring SmartBook 2.0, Adaptive Learning Assignments, and more!

Chapter 1: Sampling and Descriptive Statistics

Chapter 2: Probability

Chapter 3: Propagation of Error

Chapter 4: Commonly Used Distributions

Chapter 5: Confidence Intervals

Chapter 6: Hypothesis Testing

Chapter 7: Correlation and Simple Linear Regression

Chapter 8: Multiple Regression

Chapter 9: Factorial Experiments

Chapter 10: Statistical Quality Control