• For M.Com., MBA, MFC, MBE, M.A(Eco.),MCA, B.Com(H), B.Com(P),B.A.(H)Eco,BBA,BBS,BBE, B.A., etc. of all Indian Universities. Also for CA., ICWA, IAS, and other Equivalent Competitive Examinations. • Presents a clear, simple, systematic and comprehensive exposition of the methods, principles and techniques of statistics in various disciplines with special reference of commerce, management, economics and business. • A large number of solved (about 1500) problems and unsolved (nearly 3000) problems have been included to enable the user of statistical techniques and methods in commerce, economics, management and other related areas.

This book is a guide for you on probability theory. It is a good book for students and practitioners in fields such as finance, engineering, science, technology and others. The book guides on how to approach probability in the right way. Numerous examples have been given, both theoretical and mathematical with a high degree of accuracy. If you have wished to know how to model random and uncertain events, this is the right book for you. The author guides you on how to tackle probabilistic problems using various forms of probability distributions. Probabilities are normally combined using rules. The author has helped you understand how to apply these rules to model your problems. The author has approached the subject in an easy way and by use of real world examples. Numerous stories have been given to help you know how the various distributions are connected and the kind of problems where each distribution should be applied. The author finally helps you know the areas in which probability is applied today. You will also know the various ways you can use probability in your day-to-day activities for your own benefit. It is the best book to help you know how to make better decisions when dealing with random and uncertain events. If you are a student, grab a copy of this book and know how to tackle probability-related problems. The content of this book is: What is Probability Theory Basic Rules for Combining Probabilities Probability Distributions for Discrete Variables Binomial Distribution Poisson Distribution Normal Probability Distributions Sampling Applications of Probability Subjects include: probability theory and examples, probability and statistics, probability an introduction, probability theory and statistics for economists, probability for beginners, probability for finance, probabilistic graphical models, probability distributions.