📊 Misinterpretation & Distribution Analysis

Using one data set mentioned by a user (e.g., climate impact data, election polling, local housing prices), teams revisit their computed statistics and graphs. They analyze how distribution shape (symmetric, skewed, bimodal) and use of mean/standard deviation or normal modeling may have influenced user interpretation. Students annotate a histogram and box plot to show where misunderstanding occurred and evaluate whether fitting a normal curve was appropriate.