Welcome to another insightful lesson from PostNetwork Academy. In this video, Bindeshwar Singh Kushwaha explores the concept of probability, focusing on the probability of at least one independent event happening. This topic is essential for students and professionals in Data Science, AI, or Mathematics. What You’ll Learn in This Video: – Formula for the probability of at least one independent event – Step-by-step derivation using De Morgan’s laws and independence – Extension to multiple independent events – Practical example: Probability of hitting a target By the end of this session, you’ll have a solid understanding of this critical probability concept and be ready to apply it in real-world scenarios. Key Formulas Covered: – P(A ∪ B) = 1 – P(Aᶜ ∩ Bᶜ) – P(A₁ ∪ A₂ ∪ … ∪ Aₙ) = 1 – ∏ P(Aᵢᶜ) Example Problem: Imagine two people trying to hit a target, with individual success probabilities of 4/5 and 2/3. Watch as we compute the probability of the target being hit when both try. Stay Connected: Website: www.postnetwork.co YouTube Channel: www.youtube.com/@postnetworkacademy Facebook: www.facebook.com/postnetworkacademy LinkedIn: www.linkedin.com/company/postnetworkacademy Subscribe for More: Don’t forget to like, share, and subscribe for more lectures and tutorials on Data Science, AI, and beyond. Let’s learn and grow together! #Probability #DataScience #AI #Mathematics #PostNetworkAcademy
