Probability models‎,‎ statistical methods‎,‎ and the information to be gained from them is vital for work in business‎,‎ engineering‎,‎ sciences ‎(‎including social and behavioral‎)‎‎,‎ and other fields‎.‎ Data must be properly collected‎,‎ analyzed and interpreted in order for the results to be used with confidence‎.‎ Award‎-winning author George Roussas introduces readers with no prior knowledge in probability or statistics to a thinking process to guide them toward the best solution to a posed question or situation‎.‎ An Introduction to Probability and Statistical Inference provides a plethora of examples for each topic discussed‎,‎ giving the reader more experience in applying statistical methods to different situations‎.‎ * Content‎,‎ examples‎,‎ an enhanced number of exercises‎,‎ and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities* Reorganized material in the statistical portion of the book to ensure continuity and enhance understanding* A relatively rigorous‎,‎ yet accessible and always within the prescribed prerequisites‎,‎ mathematical discussion of probability theory and statistical inference important to students in a broad variety of disciplines* Relevant proofs where appropriate in each section‎,‎ followed by exercises with useful clues to their solutions* Brief answers to even‎-numbered exercises at the back of the book and detailed solutions to all exercises available to instructors in an Answers Manual