Quantitative Analysis for Business Decisions

Quantitative Methods provides a comprehensive introduction to the mathematical and statistical techniques used for data analysis and decision-making. The book begins with fundamental concepts of data collection, classification, and presentation, helping readers understand how to organize and summarize information effectively. It then explores key areas such as measures of central tendency and dispersion, probability distributions, sampling techniques, estimation, and hypothesis testing. The text also covers correlation and regression analysis, enabling readers to study relationships between variables and make predictions based on data.
A dedicated section focuses on time series analysis, including trend measurement methods such as moving averages and least squares, which are widely used in business forecasting. Basic operations research techniques and decision-making models are also introduced to provide a broader analytical perspective. The book includes numerous examples, solved problems, and practical applications to enhance understanding and develop problem-solving skills. Designed for students of business, economics, management, and related fields, this book serves as both a foundational textbook and a practical guide for applying quantitative techniques in real-world situations.