Class 12 Probability mein conditional probability, Bayes theorem aur probability distributions aate hain. Yahan aapko is chapter ke sabse important formulas aur quick revision points free milte hain — NCERT/CBSE syllabus ke hisaab se, boards aur JEE/NEET dono ke liye.
Important Formulas & Concepts — Probability
- Conditional: P(A|B) = P(A∩B)/P(B)
- Multiplication: P(A∩B) = P(A)·P(B|A)
- Independent: P(A∩B) = P(A)·P(B)
- Total probability: P(A) = ΣP(Eᵢ)·P(A|Eᵢ)
- Bayes: P(Eᵢ|A) = P(Eᵢ)P(A|Eᵢ)/ΣP(Eⱼ)P(A|Eⱼ)
- Random variable: mean E(X) = Σxᵢpᵢ
- Variance = E(X²) − [E(X)]²
- Σpᵢ = 1 (distribution ki condition)
Quick Revision Points
- Bayes theorem ka 6-marker boards mein almost हर saal hai
- Bags/urns/factories wale questions total probability se
- Independent vs mutually exclusive alag concepts hain
- Distribution table mein pehle Σp = 1 se unknown nikalo
- “Given that” dikhe to conditional lagao
📘 Complete Visual Notes + Formula Sheet PDF
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FAQ
Bayes ke questions ka format?
Events define karo → prior probabilities → conditional → formula. PDF mein tree-diagram method solved hai.
Distribution ke questions easy hain?
Haan — table banao, mean/variance formulas lagao — 4 marks pakke.
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