Statistics Made Simple

A Research Guide for Maths-Anxious Learners
1. Auflage 2027
ISBN: 978-1-041-43975-2
Verlag: Taylor & Francis

Buch, Englisch, 200 Seiten, Format (B × H): 156 mm x 234 mm

This textbook provides an accessible introduction to statistical reasoning for learners who find quantitative methods challenging yet recognize data's essential role in research. As the third volume in a foundational series, it bridges basic research methodology and advanced statistical analysis through a concept-first, application-oriented approach. Using clear language and real-life contexts rather than dense mathematical formulations, it covers topics from data types and descriptive statistics to hypothesis testing, t-tests, ANOVA, and regression.  The book emphasizes interpretation, decision-making, and research relevance, making abstract concepts intuitive through everyday examples. Pedagogical features including chapter vignettes, recap sections, conceptual questions, and applied exercises reinforce understanding and promote active learning. It also introduces commonly used research tools and software for independent study.  Ideal for undergraduate and postgraduate students, early-career researchers, and interdisciplinary learners, this essential resource builds confidence in statistical reasoning across social science disciplines and beyond. It equips readers with skills to formulate research questions, analyze data, and draw evidence-based conclusions, providing a coherent learning pathway for developing competence in statistical methods.

Zielgruppe

Postgraduate

Autoren/Hrsg.

Chowdhary, Nimit

Sunayana

Prakash, Monika

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden
• Wirtschaftswissenschaften Betriebswirtschaft Marktforschung
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

PART I: GETTING COMFORTABLE WITH STATISTICS

- Why Statistics? A Cup of Chai and a Curious Tourist
Understanding the role of statistics in making sense of the world around you

- What Counts as Data? Diaries, Biryani Votes, and Tourist Footfall
Understanding types of data and measurement scales

- The Average Student: Decoding Marks and Medals
Understanding Mean, Median, Mode, and Weighted Average

- Why People Differ: Cricket Runs and Exam Variations
Understanding range, variance, and standard deviation

- Pictures that Speak: Turning Data into Stories
Presenting data using frequency tables, bar charts, histograms, and pie charts

PART II: EXPLORING RELATIONSHIPS AND PATTERNS

- When Two Things Move Together: Ice Cream and Exam Results
Understanding correlation, causation, scatterplots, and covariance

- Measuring Trust
Reliability and validity in daily research

- Rolling the Dice: Luck, Chance, and the Normal Curve
Understanding probability, the bell curve, and Z-scores

- When Mango Sellers Meet Mathematics
Understanding and reading normal distribution tables without fear

PART III: TESTING IDEAS AND COMPARING GROUPS

- From Guess to Proof: The Hypothesis Game
Understanding hypothesis testing in research

- Comparing One to the Crowd: The Tea-Tasting Experiment
Understanding the one-sample z-test

- Beaches or Hills? A Tourist Preference Study
Understanding the independent t-test and effect size

- Before and After: A New Teaching Method in Class
Understanding the paired t-test

- Who Wins? The Great Hostel Biryani Cook-Off
Understanding one-way ANOVA with the F-test

- More Factors, More Fun: Holiday Packages and Customer Choices
Understanding factorial ANOVA in simple words

- What If Data Misbehaves? Festivals and Chi-Square Tests
Understanding chi-square tests for categorical data

PART IV: LOOKING AHEAD AND MAKING PREDICTIONS

- Predicting the Future: Next Year’s Tourist Footfall
Understanding linear regression and the art of prediction

- The Big Picture: Tools You’ll Hear About Later
A peek into advanced methods

- Too Many Laddus or Just Enough? The Art of Choosing Samples Wisely
Introduction to sampling and sample size determination

- Clearing Confusions: FAQs for Beginners
When chai meets statistics: sorting out everyday doubts

PART V: DOING RESEARCH IN PRACTICE

- Collecting Data, the Right Way: The Golden Rules
How to avoid common pitfalls in surveys and sampling

- Making Peace with Software
A gentle guide to using Excel, SPSS, and other tools for research

- From Tea Shop to Thesis: The Journey of a Beginner
A warm recap and roadmap for your first research project

Über Autor(innen)

Nimit Chowdhary is Vice Chancellor of Rajasthan Technical University, Kota, and is also a Professor and Head at the Department of Tourism and Hospitality Management, Jamia Millia Islamia, New Delhi. He has more than 32 years of postgraduate teaching and research experience. He has been a professor for close to 19 years, serving in all the country's regions. He has also been a professor at ITESM- Mexico, Shaoxing University, China. He has also taught at the University of Girona, Spain, the University of Gotland, Sweden, and GEA Academy Slovenia. Recently, he was associated as adjunct faculty with Arizona State University, USA. He has received awards and accolades in and outside of India for his academic contributions. He is a recipient of the AICTE Career Award for Young Teachers; SIDA Fellowship, Sweden; Guest Scholarship, Sweden; Linnaeus Palme Exchange Programme Grants, Sweden; PIMG Research Excellence Award, Gwalior; Scholars' Grant (EMTM), Erasmus Mundus, Europe among others. Recently he was chosen for the prestigious LEAP programme at Oxford University.

Sunayana is an Associate Professor in the Faculty of Management Studies at Jamia Millia Islamia's Department of Management Studies. She has earned a PhD in Management Studies from Jiwaji University in Gwalior, MP, and an MBA from Maharshi Dayanand Saraswati University in Ajmer. At the Government Engineering College in Jhalawar, Rajasthan, she previously held the position of lecturer. She has been a teacher for more than 17 years. She has given talks at numerous conferences in India and overseas and published more than 20 papers in reputable national and international publications. She teaches cross-cultural issues, training and development, strategic management, and business ethics. Her areas of research interest are tourism, strategic management, and business ethics.

Monika Prakash is a Professor at the Indian Institute of Tourism and Travel Management (IITTM), Noida. Earlier, she headed the IITTM Noida, IITTM Gwalior and IITTM Nellore, besides briefly officiating as Director of the institute. She has over 28 years of university-level teaching experience and has been a full professor since 2013. She leads the prestigious Incredible India Tourist Facilitator Programme (IITFP) of the Ministry of Tourism, Government of India.