Taxmann Business Statistics B.Com. (Hons.) By Gurmeet Kaur, Soumya Sharma, Rachan Sareen Edition 2025

Taxmann Business Statistics B.Com. (Hons.) By Gurmeet Kaur

Taxmann Business Statistics B.Com. (Hons.) By Gurmeet Kaur

Business Statistics is a comprehensive, student-centric textbook designed to meet the evolving needs of undergraduate students under India’s new National Education Policy (NEP) framework. This edition upholds the core tenets of NEP by promoting a holistic approach to learning, ensuring that students develop sound theoretical foundations and practical data analysis and interpretation skills. Specifically aligned with the B.Com. (Hons.) and B.Com. syllabi under the UGCF-NEP 2020 Framework of the University of Delhi (as well as other central universities in India and abroad), the book provides a structured journey through the essential statistical tools and concepts required for understanding modern business and economic environments. This book simplifies the subject by emphasising the critical role of data in driving strategy and innovation. It clarifies how understanding probability, distributions, correlation, and regression can help students objectively evaluate information and draw meaningful inferences from practical scenarios.

This book will be helpful for the following audience:

• Undergraduate Students – Particularly those enrolled in commerce or related programs such as B.Com.(Hons.), B.Com. (Prog.), and similar undergraduate degrees in central universities across India and abroad
• Teachers and Practitioners – Educators seeking a clear, up-to-date, and learner-focused approach to teaching Business Statistics
• General Readers – Anyone intrigued by the growing importance of data analysis and looking to build or refresh their statistical skill set

The Present Publication is the 1^st Edition, authored by Dr Gurmeet Kaur, Soumya Sharma, and Dr Rachan Sareen, with the following noteworthy features:

[Student-Centric Design]

• Clear and Accessible Language – The book is written in a manner that ensures even students with minimal background in mathematics or statistics can readily grasp complex ideas
• Systematic Pedagogy – Topics are laid out methodically, beginning with foundational principles and gradually progressing to advanced concepts
• Alignment with UGCF-NEP 2020 – Content and coverage have been mapped to the latest syllabi and guidelines, helping learners effortlessly meet course requirements

[Balanced Coverage of Theory and Application]

• Thorough Explanations – Each statistical method is introduced with its conceptual underpinnings, ensuring that readers understand both the ‘how’ and the ‘why’ behind each technique
• Examples – Practical examples and applied scenarios are interspersed throughout, reinforcing how statistical tools are employed in business decision-making and research

[Rich Pedagogical Features]

• Solved Examples – Carefully selected and fully worked-out examples appear in each chapter, illustrating how to apply statistical formulas and interpret results
• Practice Problems and Exercises – A variety of end-of-chapter exercises enable students to test their understanding, hone problem-solving skills, and gain confidence in their analytical abilities
• Formula Summaries – Consolidated lists of key formulas and concepts at the end of each chapter facilitate quick revision before exams or assignments
• Excel-Based Exercises – Recognising the importance of digital proficiency in today’s workplace, the book incorporates spreadsheet-based exercises and demonstrations, making it easier to transition from textbook learning to practical application

[Comprehensive Content Coverage]

• Descriptive Statistics – Covers Measures of Central Tendency, Dispersion, Skewness, Kurtosis, and Moments—laying the groundwork for advanced statistical analysis
• Probability and Probability Distributions – Provides a solid foundation in probability theory, Bayes’ Theorem, and the computation of probabilities for Binomial, Poisson, and Normal distributions
• Correlation and Regression Analysis – Discusses correlation versus causation, Pearson’s and Rank correlation, regression lines, equations, and the interplay between correlation and regression coefficients
• Time Series Analysis – Examines the components of time series data, the principle of least squares, and the fitting of linear and second-degree parabolic trends
• Index Numbers – Explores the meaning, uses, and construction of index numbers with a focus on key indices like the Consumer Price Index, BSE SENSEX, and NSE NIFTY
• Business Statistics Using Spreadsheet – Equips students with practical skills through Excel-based assignments, bridging theoretical knowledge with hands-on implementation

[Supplementary Materials and Guidance]

• Previous Years’ University Exam Questions – Inclusion of solved questions from past examinations helps students understand the format, depth, and nature of university-level assessments
• Step-by-Step Solutions – Complex problems are tackled in a structured, stepwise format, promoting clarity and reinforcing confidence among learners
• Project Work and Small Research Tasks – Suggestions for primary research and data analysis projects encourage independent exploration and the practical application of statistical methods

Organised into 13 chapters spread across 6 units, the textbook accommodates the standard teaching hours and course weightage found in most undergraduate curriculums:

Unit I | Descriptive Statistics

• Introduction to Business Statistics
• Measures of Central Tendency
• Measures of Dispersion
• Measures of Skewness, Kurtosis, and Moments

Unit II | Probability and Probability Distributions

• Introduction to Probability
• Theoretical Probability Distributions (Binomial, Poisson, Normal)

Unit III | Simple Correlation and Regression Analysis

• Correlation Analysis
• Regression Analysis

Unit IV | Time Series Analysis

• Fitting of Trends, Components of Time Series

Unit V | Index Numbers

• Construction and Uses of Various Index Numbers

Unit VI | Business Statistics Using Spreadsheet

• Hands-On Exercises in Excel

Each chapter begins with a clear outline of topics, followed by structured content, solved examples, and practice tasks. Students are then guided through an array of data interpretation and analysis activities, culminating in spreadsheet-based exercises for practical exposure