# Web Applications ````{panels} :card: border-2 **Hypothesis Testing** ^^^ In a blind taste test, could you tell the difference between Coke and Pepsi? This interactive application demonstrates how hypothesis testing could be used to answer this question. Launch Application! --- **The Multiple Testing Problem** ^^^ This application illustrates alpha inflation and the multiple testing problem. Launch Application! ```` ````{panels} :card: border-2 **Overfitting** ^^^ This interactive application demonstrates the concept of overfitting. Users can adjust the highest degree polynomial of a regression model fit to training data, and observe how the model's performance changes on a test set. Launch Application! --- **Dummy Variables** ^^^ This application accompanies the case *Precision Paint Co.* by Professors Iavor Bojinov, Chiara Farronato, and Janice Hammond, Senior Lecturer Michael Parzen, and Research Associate Paul J. Hamilton. It demonstrates the interpretation of dummy variables in a regression model. Launch Application! ```` ````{panels} :card: border-2 **Confusion Matrices & ROC Curves** ^^^ Using the spam email data set ([here](https://archive.ics.uci.edu/ml/datasets/spambase)), this application demonstrates the relationship between model thresholds, confusion matrices, and ROC curves. Launch Application! --- **Unsupervised Clustering** ^^^ This application accompanies the case *Chateau Winery (A): Unsupervised Learning* by Professor Srikant M. Datar and Research Associate Caitlin N. Bowler. It demonstrates the application of several different clustering algorithms to customer purchase data from the fictional Chateau Winery. Launch Application! ````