Understand Normal Distribution in 30 Seconds #Data #DataScience #AIML

🚀 DAY 16/200 – Normal Distribution 📊 | The Bell Curve Most students ke marks ek particular range ke around kyun hote hain? 🤔 Welcome to the Bell Curve! 🔔 Day 16 of the 200 Days Data Analysis & Data Science Journey! 📊 What is Normal Distribution? Normal Distribution ek continuous probability distribution hai jahan data generally mean ke around cluster karta hai. 🔔 Iski shape bell jaisi hoti hai. 📌 Key Properties: ✅ Mean = Median = Mode ✅ Symmetrical distribution ✅ Most observations mean ke near ✅ Fewer observations extremes par ⭐ 68–95–99.7 Rule Approximately: 🔹 68% → Within 1 Standard Deviation 🔹 95% → Within 2 Standard Deviations 🔹 99.7% → Within 3 Standard Deviations 📈 What is Z-Score? Z-score batata hai ki koi value mean se kitne standard deviations away hai. 🔥 Example: Mean = 70 Standard Deviation = 10 Student Score = 80 ➡️ Z = (80 − 70) / 10 = 1 Meaning: Score mean se 1 standard deviation above hai. 💡 Normal Distribution & Z-Scores are important for Statistics, Data Analysis & Machine Learning. 📌 DAY 17: Z-Score & Standardization in Machine Learning 🤖 🚀 Subscribe ‪@tech_jroshan‬ for the complete 200 Days Data Analysis & Data Science Journey! #NormalDistribution #BellCurve #ZScore #Statistics #DataAnalysis #DataAnalyst #DataScience #MachineLearning #Standardization #StatisticsForDataScience #DataAnalytics #DataAnalystSkills #LearnStatistics #AI #ML #DataScienceJourney #TechJroshan #200DaysChallenge #Day16