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🚀 LinkedIn Post: Exploring Student Exam Scores with Statistics & Python! 📊🐍

🔍 Ever wondered how to analyze student exam scores using statistics and Python? Here's a case study breaking down key statistical measures!

📌 What We Did:
✅ Calculated Mean, Median, and Mode to understand central tendencies
✅ Explored Quartiles & IQR for data spread
✅ Measured Range, Variance, and Standard Deviation for variability
✅ Visualized scores using Boxplots & Histograms

📈 Key Insights:
✔ The mean (83.4) is slightly higher than the median (85), suggesting some high scores pull the average up.
✔ The mode (85, 92) shows the most frequent scores.
✔ The standard deviation (8.1) indicates a moderate spread in student performance.

💡 Curious to see the full implementation? Let’s discuss in the comments! 📢