प्रायिकता का गुणन नियम (Multiplication Theorem on Probability)|स्वतंत्र घटनाएँ (Independent Events)

Multiplication Theorems on Probability

Probability (प्रायिकता)|Set Theory (समुच्चय सिद्धांत)|Permutation And Combination In Probability (क्रमचय तथा संचय प्रायिकता में)|Conditional Probability (सशर्त संभाव्यता)|Independent Event (स्वतंत्र घटनाएं)|Questions (प्रश्न)|OMR

सप्रतिबंध प्रायिकता | प्रायिकता का गुणन नियम

Independent Events || Multiplication Game Problems || Total Probability Theorem

Multiplication theorem| Baye's theorem| Binomial experiment| Probability Distribution

Multiplication theorem, Baye's theorem, Binomial experiment, Probability Distribution

Independent Events || Multiplication Game, Problems , and Total Probability Theorem

Basic questions and theorems (addition,multiplication) || Conditional probability theory

Venn Diagram || General Addition Theorem || Independent & Dependent Events || Questions( Q 14 to Q 26)

Consider the following statements related to the nature of Bayes' theorem 1. Bayes' theorem is a formula for computation of a conditional probability. 2. Bayes' theorem modifies an assumed probability of an event in the light of a related event which is observed. Which of the statements given above is/are correct ?