About the course

Description:

Master Probability and Statistics for GATE Robotics & Automation (RA) with comprehensive lectures, solved examples, PYQs, and practice questions. Learn probability axioms, conditional probability, random variables, expectation, PDF, CDF, binomial, Poisson, normal distribution, hypothesis testing, mean, median, mode, and standard deviation to excel in GATE RA 2027.

Syllabus:

Axioms of probability, conditional probability, mean, median, mode, standard deviation, random variables, expectation, binomial, Poisson, and normal distributions; hypothesis testing, Probability Density Function (PDF), Cumulative Distribution Function (CDF).