Complete Statistics 2 One Shot for QUIZ 1 | IIT Madras BS Degree | Fastrack Revision Series

📝Lecture Notes: https://rkns.link/0leya Statistics 1 Sessions: https://youtu.be/5SZRj9Gp8ck https://youtu.be/Y7hWN3tC0QU https://youtu.be/BKwEfUJ6-iY 💼Hiring Interns: https://tr.ee/cZmz-pcoXW Are you looking for a community of Aspiring Entrepreneurs and Venture capitalist Investors for your Startup? 💸Join Unknown IITians X Founders Gang: https://chat.whatsapp.com/DSNe1Ae7IWU5lnJ37PXL44 Download Notes: ✅Website: https://unknowniitians.odoo.com ✅Medium: https://medium.com/@unknowniitians Download PYQs ✅Website: https://unknowniitians.odoo.com/previous-year-questions (Website SIGN in required) Welcome to this comprehensive Statistics 2 one-shot revision for QUIZ 1 in the IIT Madras BS Degree program, brought to you by Unknown IITians! This video is part of our Fastrack Revision Series, specially designed to help you prepare effectively and ace your statistics quiz. In this session, we’ll break down the essential topics, key concepts, and problem-solving techniques you need to perform well in Statistics 2. Whether you're looking for a final revision or need to grasp difficult concepts quickly, this video is perfect for you. Topics Covered: Key Concepts in Statistics 2 Essential Formulae and Methods for Problem Solving Step-by-step Solutions for Quiz 1 Quick Tips for Effective Revision Common Mistakes to Avoid During the Quiz Stay tuned for more fastrack revision sessions and quizzes from the IIT Madras BS Degree program. Don’t forget to like, share, and subscribe! Time Stamp 0:00 Introduction 0:49 Topics to be covered 1:48 Refresher 9:06 Two Random Variable concept 13:05 Joint PMF 19:20 Marginal PMF 23:25 Conditional PMF 32:25 Poisson PMF 33:55 Three random variable Questions 41:13 Independence and dependence 51:00 Independent & Identically distributed 1:02:53 Memoryless Property 1:07:59 Uniform and Binomial 1:22:36 Poisson Distribution 1:28:01 Cumulative Distributive Freq of a discrete Variable 1:31:46 Summarizing data 1:35:33 Expectation 1:48:48 Variance and Standard Deviation 1:55:33 Covariance 1:58:54 Covariance 1:59:43 Trends 2:01:58 Tail Bounds 2:10:01 CDF of a random Variable 2:14:18 Probability Density Function 2:20:40 PYQ Discussion 2:44:10 All the best Connect with us 🔗Linkedln: https://www.linkedin.com/company/unknown-iitians/ 🔗Linktree: https://linktr.ee/unknowniitians 🔗Telegram: https://t.me/bsdatascience_iitm 🔗WhatsApp Channel: https://whatsapp.com/channel/0029VayHsVwIiRorIdVX9n1l 🔗Instagram: https://www.instagram.com/unknown_iitians/ 📌 For any Queries or Complaints visit: https://forms.gle/7yowH7hGJTnr4MNT7 @UnknownIITians #unknowniitians #IITMadras #Statistics2 #FastrackRevision #Quiz1Preparation #IITRevision #Statistics2PYQs #FastTrackSeries #IITMadrasBS #StatisticalMethods