У нас вы можете посмотреть бесплатно L2 | Probability for JEE Mains and Advanced | Mutually Exclusive & Exhaustive Events | 2026 | 2027 или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Probability for JEE Mains | Probability for JEE Advanced | Mutually Exclusive & Exhaustive Events In Lecture 2 of Probability, we discuss the most important foundational concepts: ✔ Equally Likely Events ✔ Mutually Exclusive Events ✔ Exhaustive Events ✔ Mutually Exclusive & Exhaustive Events Combined These topics are essential for solving JEE Mains and JEE Advanced probability questions, especially those involving addition of probabilities and event relationships. This lecture includes simple explanations, logical reasoning, and JEE-level examples. Perfect for JEE Mains 2026, 2027, 2028 aspirants who want crystal-clear understanding from the basics. 🎯 TOPICS & TIMESTAMPS (Clean & Professional) (Adjust timing after you edit the final video) 00:00 – Introduction to Probability (Lecture 2) • Importance of event classification • Why these concepts are used in higher probability 04:10 – Equally Likely Events • Meaning of equal chance • Real-life examples • Outcomes of coins and dice • Events like {H} and {T} being equally likely 10:45 – Two-Coin Experiment • Sample space S = {HH, HT, TH, TT} • Breaking into different events • Identifying which events can or cannot occur together 18:30 – Mutually Exclusive Events • Definition: Events that cannot occur simultaneously • Condition: A ∩ B = φ • Examples using dice outcomes • Understanding pairwise disjoint events 27:00 – Exhaustive Events • Definition: Events that together cover the entire sample space • Example using coin tosses • Union of events = Sample space 35:20 – Mutually Exclusive AND Exhaustive Events • Combining both ideas • When events are pairwise disjoint AND cover all outcomes • Examples with multiple coin tosses 44:10 – Important Question (Two Dice Thrown) Given events based on the sum of numbers, determine which pairs are mutually exclusive: A: sum is even B: sum is multiple of 3 C: sum is less than 4 D: sum is greater than 11 52:00 – Important Question (Three Coin Toss) Events: A: No head B: Exactly one head C: At least two heads • Check if they are mutually exclusive • Check if they are exhaustive 57:30 – Three Coin Toss – Advanced Classification (i) Two events that are mutually exclusive (ii) Three events mutually exclusive & exhaustive (iii) Two events NOT mutually exclusive (iv) Two events mutually exclusive but NOT exhaustive (v) Three events mutually exclusive but NOT exhaustive 🧠 IMPORTANT KEYWORDS (SEO-Boosting) equally likely events, mutually exclusive events, exhaustive events, mutually exclusive and exhaustive events, probability jee mains, jee advanced probability, class 11 probability, tossing coins probability, dice problems probability, jee mains maths lecture, jee maths chapter probability, iit jee probability basics. 🔥 Hashtags #Probability #JEEMains #JEEAdvanced #EquallyLikely #MutuallyExclusive #ExhaustiveEvents #JEEMaths #ProbabilityLecture #IITJEE #Class11Maths #JEEMains2026 #JEEMains2027 #JEEMains2028