Quantitative Aptitude
Statistics & Probability
Statistics & Probability
Statistics covers measures of central tendency (mean, median, mode) and dispersion (range, variance, SD). Probability quantifies the likelihood of events and extends to combined and conditional events, permutations, and combinations.
Key Idea
For statistics: Sum = Mean × n — use this to work backwards from a given average. For probability: P(at least one) = 1 − P(none) is almost always faster than direct counting.
Core Formulas
Central Tendency
Mean = Sum / n | Median = middle value (sorted); even n → avg of n/2 and n/2+1 positions | Mode = most frequent
Use mean when all values are needed; median when outliers are present; mode for the most common value.
Dispersion
Range = Max − Min | Variance = Σ(xᵢ − Mean)² / n | Standard Deviation = √Variance
Range gives a quick spread estimate; SD/Variance are used when the question asks about consistency or variation.
Basic Probability
P(E) = Favourable outcomes / Total outcomes | 0 ≤ P(E) ≤ 1 | P(E') = 1 − P(E) | P(A∪B) = P(A) + P(B) − P(A∩B)
Apply P(E) = favourable/total for single-event problems; use P(E') = 1 − P(E) as the complement shortcut for complex events.
Combined & Conditional Probability
Independent: P(A and B) = P(A) × P(B) | Mutually exclusive: P(A or B) = P(A) + P(B) | Conditional: P(A|B) = P(A∩B) / P(B)
Multiplication rule for independent events (coin tosses, dice); addition rule for mutually exclusive outcomes; conditional when one event has already occurred.
Permutations & Combinations
nPr = n! / (n−r)! | nCr = n! / ((n−r)! × r!) | nCr = nC(n−r)
Use nPr when order matters (arrangements, rankings); use nCr when order doesn't matter (selections, committees).
Relevant Exams
Statistics & Probability is high-yield in SSC CGL Tier 2 and banking exams — expect 3–5 questions per paper combining central tendency, probability of card/dice/ball problems, and nCr-based selection problems.