Devore, Jay L.
Probability and statistics for engineering and the sciences, metric version - 9th ed. - New Delhi Cengage Learning 2024 - xiv, 715p. + Appendix + Index; 25cm.
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.
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.
9789353506247
Mathematical statistics
Probabilities
519.2 DEV/P
Probability and statistics for engineering and the sciences, metric version - 9th ed. - New Delhi Cengage Learning 2024 - xiv, 715p. + Appendix + Index; 25cm.
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.
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.
9789353506247
Mathematical statistics
Probabilities
519.2 DEV/P