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Probability and statistics for engineering and the sciences

By: Material type: TextTextPublication details: New Delhi Cengage 2017Edition: 9th edDescription: xiv, 715p. pbkISBN:
  • 9789353506247
Subject(s): DDC classification:
  • 519.5 DEV
Summary: "Probability and Statistics for Engineering and the Sciences, 9E, metric edition is a calculus-based textbook that provides an introduction to probability and statistics while showcasing the application of theories, methodologies, and models in modern scientific and engineering careers. The book uses lively examples, engineering activities, practice problems, and simulations based on actual data to teach statistical concepts without delving too much into mathematics. The comprehensive textbook includes graphics and screen shots from SAS, MINITAB, and Java Applets to provide readers with a practical understanding of statistical models. Table of contents: 1. Overview and descriptive statistics 2. Probability 3. Discrete random variables and probability distributions 4. Continuous random variables and probability distributions 5. Joint probability distributions and random samples 6. Point estimation 7. Statistical intervals based on a single sample 8. Tests of hypothesis based on a single sample 9. Inferences based on two samples 10. The analysis of variance 11. Multifactor analysis of variance 12. Simple linear regression and correlation 13. Nonlinear and multiple regression 14. Goodness-of-fit tests and categorical data analysis 15. Distribution-free procedures 16. Quality control methods"
List(s) this item appears in: New Arrivals
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https://www.cengage.co.in/book-list/print/probability-and-statistics-for-engineering-and-the-sciences-9e-mc

"Probability and Statistics for Engineering and the Sciences, 9E, metric edition is a calculus-based textbook that provides an introduction to probability and statistics while showcasing the application of theories, methodologies, and models in modern scientific and engineering careers. The book uses lively examples, engineering activities, practice problems, and simulations based on actual data to teach statistical concepts without delving too much into mathematics. The comprehensive textbook includes graphics and screen shots from SAS, MINITAB, and Java Applets to provide readers with a practical understanding of statistical models.

Table of contents:
1. Overview and descriptive statistics
2. Probability
3. Discrete random variables and probability distributions
4. Continuous random variables and probability distributions
5. Joint probability distributions and random samples
6. Point estimation
7. Statistical intervals based on a single sample
8. Tests of hypothesis based on a single sample
9. Inferences based on two samples
10. The analysis of variance
11. Multifactor analysis of variance
12. Simple linear regression and correlation
13. Nonlinear and multiple regression
14. Goodness-of-fit tests and categorical data analysis
15. Distribution-free procedures 16. Quality control methods"

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