About the course

Probability • Conditional Probability, • Independence, Law of total probability, • Bayes’ theorem, • MontyHall problem, • Random Variables: discrete and continuous, • Expected value, • Variance, Properties of Variance • PMF, CDF, Joint Probability, Joint Conditional Probability, • Convolution, Numerical samples, Correlation, Covariance

Question Practic.

Syllabus

Meet Pratham Kocher

Expand your knowledge with our expert-led courses. Join Pratham Kocher and dive into diverse subjects and linguistic richness. Enhance your academic foundation and immerse yourself in the beauty of languages. All levels welcome.

What do we offer

Live learning

Learn live with top educators, chat with teachers and other attendees, and get your doubts cleared.

Structured learning

Our curriculum is designed by experts to make sure you get the best learning experience.

Community & Networking

Interact and network with like-minded folks from various backgrounds in exclusive chat groups.

Learn with the best

Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.

Practice tests

With the quizzes and live tests practice what you learned, and track your class performance.

Get certified

Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.

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Probability and Statistics (CSET240) 2nd Year Mid Sem