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JEE Advanced (IIT-JEE)

Probability and Statistics

No official chapter weightage

Probability rules, conditional probability and Bayes' theorem, measures of central tendency and dispersion, and random variables.

P(A∣B)=P(B∣A) P(A)P(B),σ2=1n∑(xi−xˉ)2P(A \mid B) = \frac{P(B \mid A)\,P(A)}{P(B)}, \quad \sigma^2 = \frac{1}{n}\sum (x_i - \bar{x})^2

What this unit covers

  • Sample space and events; addition and multiplication rules; computing probabilities by counting

  • Conditional probability, independence, total probability and Bayes' theorem

  • Mean, median, mode, mean deviation, standard deviation and variance of grouped and ungrouped data

  • Random variables; mean and variance of a random variable

Other units in JEE Advanced (IIT-JEE)