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. The book offers an aesthetic that celebrates creativity while grappling with data. Such an approach will draw in both undergraduate and graduate students, teaching them to engage with concepts of probability, estimation, prediction, experimentation, and so on, with excitement. The dialogic approach that is woven in throughout the book is likely to promote critical thinking, gently pushing students to engage with numbers in finding solutions emergent from the empirical.
Statistics has gained more importance as it forms the base for the study of Data Analytics, which has become one of the most required disciplines in the industry. Decision-making by industry leaders is based on data analysis. This book is a good compilation for understanding the application of statistics and its implications in day-to-day functioning.
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Recognizes the significance of statistics in everyday life.
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Familiarizes with popular statistical software tools such as Excel, SPSS, or R and their role in data analysis and statistical computations.
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Each chapter has a summary of key points, short quizzes, solved examples, and FAQs.
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A list of formulae is provided in the required chapters.
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‘Where Is It Used in Real Life?’ section is included for gaining practical knowledge.
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Each chapter begins with a ‘Quick Recap’ of the previous chapter so that the linkages can be better understood.
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Systematic and methodical manner of coverage of topics.
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Cengage Digital App includes: Solution manuals, Practice questions, Datasets, MCQs, Flashcards, and Videos
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
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.
Prof. Ghosh is academically driven and teaches subjects such as Statistics, Business Analytics, Marketing Analytics, and Multivariate Research Techniques using softwares like SPSS and R. She also teaches statistics and quantitative techniques courses to PhD students at the University, conducts the Faculty Development Program (FDP) hosted by the University on using quantitative techniques in research, and imparts analytics training to corporates. With thorough research experience, she holds expertise in Social Science subjects such as statistics and econometrics and in working with statistical softwares such as SPSS, MINITAB, and R.
Dr Ghosh is an avid researcher and has published technical papers in many national and international journals. Her current research interests focus on integrating technology into society, most notably researching how people use digital media to configure themselves and their social relations. Additionally, she works actively in ageing, gender studies, and diverse digital interventions in the lives of an individual and organizations across generations. She primarily works on integrating various quantitative and mixed-method approaches and tools in interdisciplinary and transdisciplinary research.
