Master Statistics & Probabilitywith Aarti Agarwal
Data analysis, measures of central tendency, and probability theory — essential skills for the data-driven world and board exam success.
Book FREE Demo ClassWhat You'll Learn
Mean, median, mode
Standard deviation
Probability basics
Conditional probability
Random variables
Data representation
Why Statistics & Probability Matters
Statistics and probability are the most applicable math skills in modern careers — data science, AI, finance, and research all depend on statistical thinking.
Key Formulas
Mean = Σxᵢ / n
Arithmetic mean
P(A) = n(A) / n(S)
Classical probability
P(A|B) = P(A∩B) / P(B)
Conditional probability
σ = √(Σ(xᵢ-μ)² / n)
Standard deviation
Statistics & Probability Across Class Levels
Class 9-10: Central tendency, graphs, basic probability
Class 11: Combinatorics, permutations, binomial distribution
Class 12: Bayes' theorem, random variables, distributions
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