000			02114 a2200241 4500
999			_c5707 _d5707
005			20250804155414.0
008			250716b ||||| |||| 00| 0 eng d
020			_a9789353506247
041			_aeng
082			_a519.2 DEV/P
100			_aDevore, Jay L. _91488
245			_aProbability and statistics for engineering and the sciences, metric version
250			_a9th ed.
260			_bCengage Learning _aNew Delhi _c2024
300			_axiv, 715p. + Appendix + Index; 25cm.
500			_aTable 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.
520			_aProbability 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.
650			_aMathematical statistics _92067
650			_aProbabilities _9263
700			_aTiwari, Shaligram _914168
856			_uhttps://www.cengage.co.in/book-list/print/probability-and-statistics-for-engineering-and-the-sciences-9e-mc
942			_cBK