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.
10 short chapters, each addressing some aspect of probability and its intuitive understanding. No equations, not even a graph or picture ( though I wished at some places that there would have been some). I quite liked some chapters, for example one on skewness and kurtosis. Others were okay. Definitely not a book to learn about probability ground up, but if you already have some idea (I am an engineer by profession) then its good book to consolidate or even expand your understanding. It took me about an hour to read through it once, though I think I will revisit some chapters again. Would have liked a further reading section.