To make a good report, you must use descriptive statistics and visualizations to analyze patterns in a large dataset . Typically, this course requires comparing a team of your choice (like the Boston Celtics ) against an assigned team (like the Chicago Bulls ) across specific historical years. 📊 Key Report Sections
: Conduct tests to see if differences in performance (e.g., win percentage or points) are statistically significant .
: Include scatter plots or histograms to show trends like points scored over time.
: Calculate the mean , median , standard deviation , and variance for your team.
: Don't just list numbers; explain what a high standard deviation means for that team's consistency.
: In later projects, use linear regression to predict outcomes like team wins based on other metrics. 💡 Pro-Tips for Success