This assignment solution provides comprehensive answers and insights for the subject MST 003 Probability Theory, ensuring a strong understanding of probability concepts, theorems, and real-world applications. It includes detailed explanations of key topics, step-by-step solutions, and practical examples to enhance comprehension.

The content is structured according to IGNOU guidelines, making it suitable for the latest academic session. The assignment covers basic probability concepts, random variables, probability distributions, conditional probability, Bayes’ theorem, expectation, variance, and key probability distributions like Binomial, Poisson, and Normal distributions.

Each answer is presented in a clear, structured, and easy-to-understand manner, ensuring that students can grasp both theoretical concepts and numerical techniques. The assignment includes solved examples of probability problems, the law of total probability, Markov chains, and applications of probability in real-world scenarios, helping students strengthen their problem-solving skills.

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