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ramesh babu
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#📖ఎడ్యుకేషన్✍
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![📖ఎడ్యుకేషన్✍ - Probability Formulas] Probability 1. Classical n(A) P(A) = n(S) 2 Complement Rule P(A')=1-P(A) 3. Union of Events B P(AUB) = P(A) + P(B) P(AnB) 4.Intersection of Independent Events P(An B) = P(A) : P(B) Probability 5. Conditional P(An B) P(AIB) = P(B) 6. Law of Total Probability P(A|B) P(B;) P(A) 81 = 8c 82 7. Multiplication Rule P(AnB) = P(B) . P(AIB) Ani8 నీ11[ N9 Ne 8. Bayes Theorem CllcC! CJuS3 P(BIA) . P(A) PIBIA) 0[14 P(AIB) = P(B) 9. Expected Value E(X) = Z[Xi P(xi)] 10.Binomial Distribution p* (1-p)"-k P(Y = k) = Probability Formulas] Probability 1. Classical n(A) P(A) = n(S) 2 Complement Rule P(A')=1-P(A) 3. Union of Events B P(AUB) = P(A) + P(B) P(AnB) 4.Intersection of Independent Events P(An B) = P(A) : P(B) Probability 5. Conditional P(An B) P(AIB) = P(B) 6. Law of Total Probability P(A|B) P(B;) P(A) 81 = 8c 82 7. Multiplication Rule P(AnB) = P(B) . P(AIB) Ani8 నీ11[ N9 Ne 8. Bayes Theorem CllcC! CJuS3 P(BIA) . P(A) PIBIA) 0[14 P(AIB) = P(B) 9. Expected Value E(X) = Z[Xi P(xi)] 10.Binomial Distribution p* (1-p)"-k P(Y = k) = - ShareChat](https://cdn4.sharechat.com/bd5223f_s1w/compressed_gm_40_img_183022_191b1a3d_1769178180602_sc.jpg?tenant=sc&referrer=pwa-sharechat-service&f=602_sc.jpg "📖ఎడ్యుకేషన్✍ - Probability Formulas] Probability 1. Classical n(A) P(A) = n(S) 2 Complement Rule P(A')=1-P(A) 3. Union of Events B P(AUB) = P(A) + P(B) P(AnB) 4.Intersection of Independent Events P(An B) = P(A) : P(B) Probability 5. Conditional P(An B) P(AIB) = P(B) 6. Law of Total Probability P(A|B) P(B;) P(A) 81 = 8c 82 7. Multiplication Rule P(AnB) = P(B) . P(AIB) Ani8 నీ11[ N9 Ne 8. Bayes Theorem CllcC! CJuS3 P(BIA) . P(A) PIBIA) 0[14 P(AIB) = P(B) 9. Expected Value E(X) = Z[Xi P(xi)] 10.Binomial Distribution p* (1-p)\"-k P(Y = k) = Probability Formulas] Probability 1. Classical n(A) P(A) = n(S) 2 Complement Rule P(A')=1-P(A) 3. Union of Events B P(AUB) = P(A) + P(B) P(AnB) 4.Intersection of Independent Events P(An B) = P(A) : P(B) Probability 5. Conditional P(An B) P(AIB) = P(B) 6. Law of Total Probability P(A|B) P(B;) P(A) 81 = 8c 82 7. Multiplication Rule P(AnB) = P(B) . P(AIB) Ani8 నీ11[ N9 Ne 8. Bayes Theorem CllcC! CJuS3 P(BIA) . P(A) PIBIA) 0[14 P(AIB) = P(B) 9. Expected Value E(X) = Z[Xi P(xi)] 10.Binomial Distribution p* (1-p)\"-k P(Y = k) = - ShareChat")