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Measures of Dispersion — Class 11 Maharashtra HSC Mathematics revision notes

A 4-page visual revision sheet for Measures of Dispersion, written for Class 11 Maharashtra HSC Mathematics. Formulas, diagrams and the traps that cost marks, laid out to be read the night before rather than the term before. Free, and it opens inside CapCompass.

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Measures of Dispersion in one look

same mean, three very different teams: the average never tells the whole story

Why the mean is not enough

  • dispersion is the extent to which observations deviate from their average value
  • three batsmen X, Y, Z: same size (n=5), same mean (50), very different swings
  • an average that ignores this spread cannot say who is the more dependable player
  • range, variance and standard deviation are the three measures of dispersion used here

Same mean, different spread: runs scored in 5 ODIs

BatsmanRuns scoredTotalMean
X90, 17, 104, 33, 625050
Y40, 60, 55, 50, 4525050
Z112, 8, 96, 29, 525050

Range

  • definition Range=L-S

Range of raw data

Q. weights (in kg) of 10 students are 70, 62, 38, 55, 43, 73, 36, 58, 65, 47. Find the range

  1. smallest value S=36, largest value L=73
  2. Range=L-S=73-36

Answer: 37 kg

Variance and Standard Deviation

  • range only looks at two values; variance and SD use every observation's own deviation
  • variance of X: mean of the squared deviations from its own mean, written Var(X) or σ^2
  • standard deviation is the positive square root of the variance, written σ

Variance and SD for raw data

  • variance, by definition Var(X)=σ^2=1/nΣ(x_i-x)^2
  • variance, computing form σ^2=1/nΣ x_i^2-x^2
  • standard deviation σ=√Var(X)

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