This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, Probability and Statistics for Engineering and the Sciences emphasizes concepts, models, methodology, and applications that facilitate your understanding.
This is a big book covering many topics like Probability, distributions, ANOVA and correlation. There are quite a few problems to solve that will help you strengthen your learning. But this book lacks explaining the concept. The author directly dives into the formula and it's usage. Detailing how to intuitively think about say, regression, will make this book really worthwhile.
I dislike the format of the book. Jaynes "Probability: The Language of Science." and Savage's "The Foundations of Statistics." seem like better options if you're wanting to learn Bayesian Probability and Statistics.