This book provides a concise exposition of probability and statistics concepts for undergraduate engineering students. It is achieved by presenting the concepts as coherent stories stitched together by appropriate mathematics without unnecessary formality. There are exercise problems at the end of each chapter. It starts with notions of probability: statistical independence, conditional probability, Venn diagram, Bayes' theorem, and then continues to discrete and continuous probability distributions: binomial, negative binomial, Poisson, beta, normal, gamma, Weibull. They are followed by confidence intervals and hypothesis tests. Central limit theorem and chi-square distribution function are derived in details. The last chapter covers parameter estimators. This textbook offers a fresh alternative to more bulky undergraduate-level textbooks that strive to be complete vessels of information: too many formulas, examples, figures, and exercise problems.
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