Higher Education

eBook for Business Statistics: Using Excel, SPSS, and R

Author(s): Munmun Ghosh

ISBN: 9789355738882

1st Edition

Copyright: 2024

India Release: 2023

475 (20% off) ₹380

Binding: eBook

Imprint: CL India

Pages: 360

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This textbook refreshingly offers a storied approach to statistics, working through examples and everyday lived experiences to explain statistical concepts. The stories depict the nature of numbers, the ways in which numbers offer us tools to grasp the world around us, and the possible uses of numbers in our everyday navigation of the world. This narrative-based approach is complemented by step-by-step guidance on the various tools to be used for statistical analyses.

  • Recognizes the significance of statistics in everyday life.
  • Familiarizes with popular statistical software tools such as Excel, SPSS, or R and their role in data analysis and statistical computations.
  • Each chapter has a summary of key points, short quizzes, solved examples, and FAQs.
  • A list of formulae is provided in the required chapters.
  • ‘Where Is It Used in Real Life?’ section is included for gaining practical knowledge.
  • Each chapter begins with a ‘Quick Recap’ of the previous chapter so that the linkages can be better understood.
  • Systematic and methodical manner of coverage of topics.

1. Let us begin the Number Journey

2. How to make the numbers Visually Appealing

3. Number Dissection – Knowing the Center Point

4. Where’s the Numbers Moving? Knowing the Strength and Balance

5. The Art of Being Tentative

6. How much is too much?

7. The world of approximation and possibilities

8. Dare to differ!

9. Let us do some Experiment 

10. Love to Predict? 

Appendix: Statistical Tables

Bibliography

Index 339

Munmun Ghosh, PhD (Statistics), is Associate Professor at Symbiosis Institute of Media and Communication, Symbiosis International (Deemed) University, Pune, India. She has more than a decade-long experience in imparting training in quantitative subjects, working with data, handling real-time data, and providing real-time solutions for conducting research. She is a university-approved PhD advisor and mentor to postgraduate students. She is actively involved in academic research, teaching, and conducting training for faculty and corporates.