Скачать или смотреть Beta I, II Distribution l Statistics Paper 1 l ISS 2026

In this lecture, we cover Beta Distribution Type I and Type II in a clear and exam-oriented way for ISS 2026 preparation. This topic is very important for Statistics Paper 1 and is frequently asked in theory as well as derivation questions.
🔍 What you will learn in this video:
Definition of Beta Distribution (Type I)
PDF, support and parameters (α, β)
Mean, Variance and Mode derivations
Beta function and its relation with Gamma function
Important properties and special cases
Beta Distribution Type II (Beta Prime)
Transformation from Gamma to Beta
Relationship with Order Statistics & Binomial distribution
Previous year question approach for ISS exam
Beta distribution is a continuous distribution on (0,1) used to model proportions and probabilities, and it plays a key role in Bayesian statistics and order statistics. �
Wikipedia
📝 Exam Focus: ✔ Derivations asked in ISS
✔ Short notes and properties
✔ Problem-solving tips
✔ Memory tricks for mean & variance
🎯 Useful for:
ISS 2026
MSc Statistics
MA Statistics
CSIR NET (Stats)
Other competitive exams with Mathematical Statistics
⏱️ Timestamps:
00:00 Introduction
02:10 Beta Type I – Definition
08:30 Mean & Variance
15:45 Beta Function & Gamma relation
22:00 Beta Type II (Beta Prime)
28:10 Important results for ISS
📚 Previous Videos in ISS Series:
➡️ Gamma Distribution
➡️ Order Statistics
➡️ Continuous Distributions for Paper 1
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