R. Panneerselvam – författare

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics.

The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analytics for effective decision making in all kinds of business situations around the world. With an emphasis on simplicity in presentation of concepts of statistical methods and associated Excel functions, the volume explores the implementation of Excel functions through well-defined sequences of steps. It covers an array of key topics which include

Discussions on real-world problems, decision support systems, scope of business statistics, types, and steps of research; Introduction to Excel and its mathematical and preliminary statistical functions; usage of different types of average functions; mean, median, and mode functions; measures of variation; measures of skewness of Excel; In-depth discussions on probability distributions, sampling distributions, testing of hypothesis, chi-square test, non-parametric tests of Excel; Extensive coverage on correlation and covariance, forecasting, analysis of variance, charts in Excel; and Analysis of the concept of linear programming, problem formulations, and techniques of linear programming, followed by the application in Excel.

Comprehensive in scope and simple in approach, this book will be key for students and researchers of business studies, business administration, economics, finance, commerce, data analytics/science, and computer science. This will also serve as useful guidebook for business executives and working professionals across the globe.

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics.

The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analytics for effective decision making in all kinds of business situations around the world. With an emphasis on simplicity in presentation of concepts of statistical methods and associated Excel functions, the volume explores the implementation of Excel functions through well-defined sequences of steps. It covers an array of key topics which include

Discussions on real-world problems, decision support systems, scope of business statistics, types, and steps of research; Introduction to Excel and its mathematical and preliminary statistical functions; usage of different types of average functions; mean, median, and mode functions; measures of variation; measures of skewness of Excel; In-depth discussions on probability distributions, sampling distributions, testing of hypothesis, chi-square test, non-parametric tests of Excel; Extensive coverage on correlation and covariance, forecasting, analysis of variance, charts in Excel; and Analysis of the concept of linear programming, problem formulations, and techniques of linear programming, followed by the application in Excel.

Comprehensive in scope and simple in approach, this book will be key for students and researchers of business studies, business administration, economics, finance, commerce, data analytics/science, and computer science. This will also serve as useful guidebook for business executives and working professionals across the globe.

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics.The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analytics for effective decision making in all kinds of business situations around the world. With an emphasis on simplicity in presentation of concepts of statistical methods and associated Excel functions, the volume explores the implementation of Excel functions through well-defined sequences of steps. It covers an array of key topics which includeDiscussions on real-world problems, decision support systems, scope of business statistics, types, and steps of research;Introduction to Excel and its mathematical and preliminary statistical functions; usage of different types of average functions; mean, median, and mode functions; measures of variation; measures of skewness of Excel;In-depth discussions on probability distributions, sampling distributions, testing of hypothesis, chi-square test, non-parametric tests of Excel;Extensive coverage on correlation and covariance, forecasting, analysis of variance, charts in Excel; andAnalysis of the concept of linear programming, problem formulations, and techniques of linear programming, followed by the application in Excel.Comprehensive in scope and simple in approach, this book will be key for students and researchers of business studies, business administration, economics, finance, commerce, data analytics/science, and computer science. This will also serve as useful guidebook for business executives and working professionals across the globe.

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics.The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analytics for effective decision making in all kinds of business situations around the world. With an emphasis on simplicity in presentation of concepts of statistical methods and associated Excel functions, the volume explores the implementation of Excel functions through well-defined sequences of steps. It covers an array of key topics which includeDiscussions on real-world problems, decision support systems, scope of business statistics, types, and steps of research;Introduction to Excel and its mathematical and preliminary statistical functions; usage of different types of average functions; mean, median, and mode functions; measures of variation; measures of skewness of Excel;In-depth discussions on probability distributions, sampling distributions, testing of hypothesis, chi-square test, non-parametric tests of Excel;Extensive coverage on correlation and covariance, forecasting, analysis of variance, charts in Excel; andAnalysis of the concept of linear programming, problem formulations, and techniques of linear programming, followed by the application in Excel.Comprehensive in scope and simple in approach, this book will be key for students and researchers of business studies, business administration, economics, finance, commerce, data analytics/science, and computer science. This will also serve as useful guidebook for business executives and working professionals across the globe.

This textbook explores the environmental impact of business systems, particularly emissions resulting from logistics and intra-company operations. It highlights how transportation activities between suppliers, companies, and end users contribute to emissions, while intra-logistics within companies consume significant energy to move components and subassemblies.By emphasizing efficient use of material handling equipment and machines, the book:· Provides actionable strategies to reduce energy consumption and minimize carbon emissions at power generation units.· Offers practical approaches to achieving sustainable operations in industries.· Uses Case studies reinforce key concepts, along with chapter summaries, keywords and review questions· Illustrates concepts clearly using tables and figuresAn engaging and practical resource for readers, this book would be ideal for students, researchers, and faculty in supply chain management, operations management, and industrial engineering at both graduate and research levels. It would also serve as a valuable resource for consultants and practitioners, providing insights into models and modeling systems to support better supply chain decisions.

This textbook explores the environmental impact of business systems, particularly emissions resulting from logistics and intra-company operations. It highlights how transportation activities between suppliers, companies, and end users contribute to emissions, while intra-logistics within companies consume significant energy to move components and subassemblies.By emphasizing efficient use of material handling equipment and machines, the book:· Provides actionable strategies to reduce energy consumption and minimize carbon emissions at power generation units.· Offers practical approaches to achieving sustainable operations in industries.· Uses Case studies reinforce key concepts, along with chapter summaries, keywords and review questions· Illustrates concepts clearly using tables and figuresAn engaging and practical resource for readers, this book would be ideal for students, researchers, and faculty in supply chain management, operations management, and industrial engineering at both graduate and research levels. It would also serve as a valuable resource for consultants and practitioners, providing insights into models and modeling systems to support better supply chain decisions.

The essential prerequisite for design thinking is the idea of invention. Since the beginning of time, humans have been coming up with a lot of notions, most of which are based on factual observations and creative ideas for creating goods that benefit society. To create processes for optimal operational efficiency of making the products that give clients the most satisfaction and the most value for their money, design thinking necessitates unconventional thinking. As a result, by learning about various historical inventions, the team working on design thinking projects may acquire the necessary abilities. This text seeks to achieve these goals.

The text begins with introducing factory system, need of products made by industries, importance of manufacturing process, types of manufacturing processes and machine tools.

This book offers a comprehensive and structured introduction to statistical methods and experimental designs, catering to the needs of students, researchers, and professionals in agriculture, life sciences, social sciences, and allied fields. With clear explanations and practical orientation, the book provides a foundational understanding of how to apply statistical principles to real-world data interpretation and scientific research.The book begins with measures of central tendency and variation, setting the groundwork for understanding the distribution and dispersion of data. It then progresses to probability theory and probability distributions, including concepts of sampling distributions, which are critical for inferential statistics.Chapters on hypothesis testing for means, proportions, and variances equip readers with the tools needed for making sound statistical decisions. The text also covers chi-square tests for goodness of fit and independence of attributes, often used in categorical data analysis.A major highlight of the book is its detailed focus on experimental designs, including Analysis of Variance (ANOVA) techniques. It introduces the reader to Completely Randomized Designs (CRD), Randomized Complete Block Designs (RCBD), and Latin Square Designs, along with advanced setups like Complete Factorial Experiments. The inclusion of Multivariate Analyses makes this book relevant for researchers dealing with complex, multidimensional data.Designed with simplicity and applicability in mind, this book balances theory with practical examples and is ideal for classroom use, research projects, and statistical consulting across various disciplines.

The Chapter 1 introduces the forces, units and dimensions, laws of mechanics, types of body, principle of transmissibility, Lamis theorem and triangular laws of forces.