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In this lecture, we cover Hypergeometric Distribution in a clear and exam-oriented way for ISS Statistics Paper 1 (Probability). This topic is part of the standard discrete distributions included in the ISS syllabus and is frequently tested through conceptual MCQs and numerical problems. � myupscsyllabus.in +1 🔹 What you’ll learn in this video: ✔️ Concept of sampling without replacement ✔️ Difference between Binomial vs Hypergeometric ✔️ Derivation of PMF ✔️ Mean and Variance (with intuition) ✔️ Recurrence relation for probabilities ✔️ Binomial approximation to Hypergeometric ✔️ Solved examples for ISS level MCQs ✔️ Previous year question patterns 📌 Where it is used: Urn problems, finite population sampling, defective items selection, card problems, and acceptance sampling models. 🧠 ISS Exam Focus: • Direct probability calculation • Identification of correct distribution • Mean/variance based MCQs • Conceptual traps (with vs without replacement) 📚 ISS 2026 Strategy Tips: Hypergeometric is a small topic but high scoring if concepts are clear. Learn the formula, understand the logic of combinations, and practice PYQs. ⏱️ Timestamps: 00:00 Introduction 02:10 Concept & Conditions 07:45 PMF Derivation 14:30 Mean & Variance 20:15 Binomial Approximation 24:40 Solved ISS PYQs 32:10 Exam Tips 🎯 Perfect for: ISS 2026 | ISI | MSc Entrance | CUET PG Statistics | BSc Statistics #ISS2026 #HypergeometricDistribution #StatisticsPaper1 #Probability #ISSPreparation #UPSCISS #DiscreteDistributions