English | 2020 | ISBN-13 : 979-8685572875 | 34 Pages | PDF, EPUB, AZW3 | 1.32 MB

A guided tour of various topics in probability and statistics with applications in machine learning, economics, physics, biology and psychology. More emphasis has been given to the presentation of ideas than to rigorous mathematical analysis, so the book is accessible to anyone who is familiar with high school algebra and elementary calculus. Numerous examples of fallacies and apparent paradoxes in probabilistic reasoning are provided. It is hoped that the book will stimulate the interest of readers sufficiently to study the introduced topics in greater depth, as one can easily find advanced textbooks devoted to each of the chapters covered here.