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Notes/CA Foundation/Quantitative Aptitude (Maths, LR, Stats)

CA Foundation · Quantitative Aptitude (Maths, LR, Stats)

Measures of Central Tendency & Dispersion

Chapter 4 · 6 formulas · 4 exam-critical pointers

Core concepts

  1. 01Mean: arithmetic average; sensitive to extremes.
  2. 02Median: middle value of ordered data; robust to outliers.
  3. 03Mode: most frequent value.
  4. 04Dispersion measures: range, mean deviation, standard deviation, variance.
  5. 05Empirical relation: Mode = 3 Median − 2 Mean (for moderately skewed).

Flowchart summary

Central Tendency | +-- Mean (AM, GM, HM) +-- Median +-- Mode Dispersion | +-- Range +-- MD +-- SD / Variance +-- CV (relative)

Exam-critical pointers

  • ⭐AM ≥ GM ≥ HM for positive numbers (equality when all equal).
  • ⭐SD unaffected by change of origin, affected by change of scale.
  • ⭐For symmetrical distribution: Mean = Median = Mode.
  • ⭐CV used to compare variability of two datasets with different units.

Make it click

Formula sheet

  • Arithmetic Mean = Σx / n
  • Median (grouped) = L + [(n/2 − cf)/f] × h
  • SD = √[Σ(x − x̄)² / n]
  • Variance = SD²
  • Coefficient of Variation = (SD / Mean) × 100
  • GM = (x₁ · x₂ · ... · xₙ)^(1/n)

More from Quantitative Aptitude (Maths, LR, Stats)

  1. Ch 1Ratio, Proportion, Indices and Logarithms
  2. Ch 2Permutations and Combinations
  3. Ch 3Time Value of Money
  4. Ch 5Correlation and Regression
All CA Foundation notes →
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