# Taxmann Business Statistics Book by Gurmeet Kaur, Soumya Sharma, Rachan Sareen

_Business Statistics_ is a comprehensive, authentic, and well-illustrated textbook designed to introduce undergraduate students to core statistical concepts and applications. Recognising the essential role of statistics in today's data-driven environment, the book equips learners with the methods needed for data analysis, interpretation, and informed decision-making. The presentation strikes a balance between theoretical rigour and practical application, ensuring students can confidently apply statistical tools to practical business and economic scenarios.

This book will be helpful for the following audience:

-   **_Undergraduate Students (Commerce & Management)_** – This book is aligned with the B.Com. (Hons.) and B.Com. syllabi under the new UGCF-NEP 2020 framework of the University of Delhi, as well as other universities in India and abroad
-   **_Instructors & Faculty_** – Offers a structured pathway and a robust resource base for teaching fundamental to intermediate-level statistics with relevant examples and exercises
-   **_Lifelong Learners & Budding Researchers_** – Those looking to develop a solid foundational understanding of statistical methods and their application in business settings will find this book indispensable

The Present Publication is the 2nd Edition, authored by Dr Gurmeet Kaur, Soumya Sharma, and Dr Rachan Sareen, with the following noteworthy features:

-   \[**Student-centric Design**\] Closely follows the B.Com. (Hons.) and B.Com. course structures under the UGCF-NEP 2020 Framework. Its simple language ensures a clear understanding of fundamental and advanced concepts
-   \[**Solved Examples**\] Each chapter contains numerous worked-out examples that demonstrate key statistical techniques step-by-step
-   \[**Practice Problems**\] End-of-chapter exercises ranging from conceptual questions and numerical problems to data-analysis tasks. It encourages hands-on learning and promotes critical thinking
-   \[**Formula Summaries**\] Convenient formula lists for quick revision and reference, helping students to review essential concepts efficiently
-   \[**Excel-based Exercises**\] Practical demonstrations and exercises using Excel, equipping students with industry-relevant data manipulation and statistical skills
-   \[**Comprehensive Resource**\] Serves as a classroom text and a reference guide for deeper statistical exploration. It is appropriate for preparing assignments, projects, and university examinations
-   \[**Robust Author Expertise**\] The authors combine decades of teaching and research experience, making the content authentic, academically rigorous, and learner-friendly

The coverage of the book is as follows:

-   **_Descriptive Statistics_**
    -   Measures of Central Tendency (_Arithmetic Mean, Median, Mode_)
    -   Measures of Dispersion (Ra_nge, Quartile Deviation, Mean Deviation, Standard Deviation, Variance, Coefficient of Variation_)
    -   Moments, Skewness, and Kurtosis
-   **_Probability & Probability Distributions_**
    -   Fundamental Probability Theorems (_Addition, Multiplication, Conditional Probability, Bayes' Theorem_)
    -   Discrete Distributions: Binomial and Poisson (_Properties & Applications_)
    -   Normal Distribution (_Properties, Computing Probabilities & Applications_)
-   **_Correlation and Regression Analysis_**
    -   Correlation Concept and Computation (_Pearson's Coefficient, Rank Correlation, Probable Errors_)
    -   Regression Lines, Regression Equations, Properties of Coefficients, Standard Error of Estimate
-   **_Time Series Analysis_**
    -   Components of Time Series: Additive and Multiplicative Models
    -   Trend Fitting (_Least Squares Method for Linear & Second-Degree Parabola_)
    -   Shifting Origin, Converting Annual Equations to Quarterly/Monthly Basis
-   **_Index Numbers_**
    -   Construction & Uses (_Laspeyres, Paasche, Fisher's Ideal Index_)
    -   Consumer Price Indices, BSE SENSEX, NSE NIFTY
-   **_Practical Exercises & Projects_**
    -   Practical application via group research/surveys, data collection, and statistical analysis
    -   Detailed guidance on spreadsheet-based problem-solving using Excel or open-source tools such as R/Python

The structure of the book is as follows:

-   **_Chapter Organisation_**
    -   Begins with a clear outline and learning objectives
    -   Progresses systematically from foundational concepts to advanced topics
    -   Includes logical sequencing to match typical undergraduate coursework coverage and timelines
-   **_Pedagogical Tools_**
    -   Step-by-step solutions and illustrative examples
    -   Chapter-end practice sets for testing and reinforcing understanding
    -   Quick-reference formula summaries and essential concept recaps
-   **_Additional Spreadsheet/Software Section_**
    -   Dedicated coverage on spreadsheet-based (_Excel_) or open-source software (_R, Python_) exercises
    -   Helps translate theoretical knowledge into practical data analytics skills

## Details

- **Price:** 0.0 INR
- **Vendor:** Taxmann
- **Tags:** Banking and Finance Books

## Variants

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> Updated: 2026-10-24
