A comprehensive collection of interactive modules designed to enhance statistical literacy through hands-on learning. These browser-based tools provide students with immediate feedback and engaging visualizations to master essential statistical concepts.
Checking Normality
A progressive learning sequence that guides students through the essential skill of assessing normality assumptions. From foundational concepts through advanced diagnostic techniques, students learn visual inspection methods, formal statistical tests, data transformations, and nonparametric alternatives when normality cannot be achieved.
Regression Analysis
An interactive exploration of linear regression from fundamentals to advanced applications. Students engage with real-world datasets, manipulate variables dynamically, and observe how changes affect model fit and predictions. This hands-on approach demystifies regression analysis and builds intuition for predictive modeling.
Chi-Square Analysis
Master categorical data analysis through interactive chi-square tests. Students learn to formulate hypotheses about categorical relationships, calculate expected frequencies, interpret test statistics, and understand the conditions under which chi-square tests are appropriate. Visual representations make abstract concepts concrete and memorable.
Coffee Simulation
An engaging probability simulation using a relatable scenario: ordering coffee with varying preparation times. Students explore sampling distributions, central limit theorem, and confidence intervals through interactive experimentation. This gamified approach makes abstract statistical theory tangible and builds deep conceptual understanding through discovery learning.