In today’s data-driven world, understanding statistics is more important than ever. This textbook helps students master statistical concepts through hands-on examples with real data, showing not only what statistics means, but also how to use it effectively in economics, business, marketing, and the social sciences.
Adopting a progressive learning approach, the book begins with exploratory data analysis, focusing on the appropriate selection of descriptive techniques and the clear, effective communication of results. Key concepts in probability and random variables are then introduced to highlight the role of uncertainty in statistical inference. Finally, the book covers the basics of inferential methods, including estimation and hypothesis testing.
The textbook follows a learning-by-doing approach. Students will develop their data analysis skills through practical exercises and cross-industry applications using datasets from various fields. The statistical software R is used throughout, with a focus on the custom UBStats library, designed specifically for teaching statistics.
Thanks to this structure, the textbook offers a comprehensive framework for statistical reasoning and data-driven analysis, making it suitable for both students and practicing professionals new to statistics.