Business Statistics: Data Driven Decision Making for Modern

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Business Statistics is a structured, in-depth learning resource created to explain how statistical methods support planning, analysis, and decision-making in modern business environments. The book follows a progressive learning approach, beginning with fundamental concepts and gradually advancing toward analytical models, forecasting techniques, and real-world applications. The early chapters introduce readers to data collection, classification, presentation, and descriptive statistics, helping build a strong foundation. As the book progresses, readers explore probability theory, sampling methods, hypothesis testing, and statistical estimation, which form the backbone of business research and managerial decision-making. Advanced chapters focus on correlation and regression analysis, time series analysis, index numbers, and quality control, enabling readers to understand patterns, trends, and relationships within data. The book also includes important operations research tools such as linear programming, transportation and assignment problems, queuing theory, inventory control, simulation, and game theory. A unique strength of this book is its emphasis on modern relevance. Dedicated chapters discuss business statistics in the digital age, including business analytics, data visualization, and applications in public policy, healthcare, retail, and infrastructure. Realistic case studies are included to demonstrate how statistical tools are applied to solve practical problems. Overall, this book is designed to transform statistics from a theoretical subject into a practical, decision-oriented discipline, empowering readers to think analytically, interpret data confidently, and apply statistical knowledge effectively in real-world situations. - Sanjay Research Group

Amazon

Pagina's: 474, Paperback, Independently published