Book

Statistical Methods in Operations Management Using SPSS In today's data-driven business environment, effective operations management depends on the ability to collect, analyse, interpret, and apply statistical information to solve complex managerial problems. Statistical Methods in Operations Management Using SPSS is designed to bridge the gap between statistical theory and practical business applications by presenting essential statistical techniques in a clear, systematic, and application-oriented manner. The book equips students, researchers, academicians, and management professionals with the analytical knowledge and practical skills required to make informed, evidence-based decisions in modern organisations. Statistical methods play a vital role in understanding business performance, improving operational efficiency, controlling quality, forecasting demand, managing inventory, evaluating productivity, and strengthening supply chain performance. This book explores how statistical tools can be effectively applied to address these operational challenges. By integrating fundamental statistical concepts with practical applications of IBM SPSS Statistics, it helps readers understand not only how statistical techniques work but also how their results can be interpreted and translated into meaningful managerial insights.The book covers essential statistical concepts and methods, including descriptive statistics, measures of central tendency and dispersion, probability, probability distributions, correlation, regression analysis, hypothesis testing, sampling techniques, and other relevant analytical tools. These concepts are presented with appropriate explanations, worked-out numerical examples, and practical illustrations to facilitate learning. Particular emphasis is placed on developing a strong understanding of statistical reasoning, selecting suitable analytical techniques, interpreting statistical outputs, and drawing valid conclusions from business data.