Exploring Data Insights: A Beginner’s Journey into Hypothesis Testing

Are you ready to dive into the world of data-driven decision-making? Join the Unit for Data Science and Analytics for an engaging and interactive Open Lab designed to demystify hypothesis testing for students and professionals across disciplines. Whether you’re an aspiring data scientist, a social scientist or simply curious about working with data, this session is for you! 

During this Open Lab, Abimelec ‘Abi’ Mercado Rivera will guide you through the fundamentals of hypothesis testing, starting with the basics and progressing to practical applications. Learn how to frame and test hypotheses using essential methods like t-tests, ANOVA and other statistical tests. Watch our live demonstrations using accessible tools like Excel and SPSS, and you can follow along as we explore real-world datasets. We will cover foundational concepts like Type I/II errors, significance levels, and p-values and will teach you how to interpret your results confidently. 

By the end of the lab, understand how to compare group means, analyze multiple variables simultaneously and test for relationships in categorical data. The lab will also discuss common pitfalls, like misinterpreting p-values and share best practices to help you apply these methods in your work. Don’t miss this opportunity to build your confidence in hypothesis testing and learn essential tools in today’s data-driven world. Reserve your spot now and take the first step toward mastering statistical analysis!