The ideas of probability theory, probability distributions applicable to the applied sciences, as well as the fundamentals of sampling distributions, estimation, and hypothesis testing are all introduced in this book.
The book includes relevant themes including model construction and experiment design as a complement to engineering and science classes.
With a focus on real engineering applications and real engineering solutions, it offers a practical approach to probability and statistical approaches and includes information on the bootstrap, increased emphasis on the usage of p-value, coverage of equivalence testing, and combining p-values. This product's foundational information, examples, exercises, and solutions have all undergone careful accuracy checks.
