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Absolute vs relative dispersion; horses

Short answer

Horse B is more consistent because its coefficient of variation (2.35%) is much smaller than Horse A’s (6.93%). Means and SD differ; use CV for comparison. Horse A: mean 278.33, SD 19.29; Horse B: mean 290, SD 6.81.

Distinguish between absolute and relative measures of dispersion. The running capacity of two horses is given below, state which is more consistent and why?

Horse A250255280290295300
Horse B280282290295298295

Absolute and relative measures of dispersion

BasisAbsolute measureRelative measure
MeaningSpread in the units of the dataSpread as a ratio or percentage, free of units
ExamplesRange, quartile deviation, mean deviation, standard deviationCoefficient of range, coefficient of quartile deviation, coefficient of variation
UseOne data set at a timeComparing two sets with different units or different means

Horses: which is more consistent?

Because the two horses have different means, compare them using the coefficient of variation (CV = σ / x̄ × 100). The six readings of each horse are taken as the full data (divisor n).

Horse A: Σx = 1670, mean = 278.33

Σ(x − x̄)² = 2233.3,  σ² = 372.2,  σ = 19.29
CV = 19.29 / 278.33 × 100 = 6.93 %

Horse B: Σx = 1740, mean = 290

Σ(x − x̄)² = 278.0,  σ² = 46.33,  σ = 6.81
CV = 6.81 / 290 × 100 = 2.35 %
MeanSDCV
Horse A278.3319.296.93 %
Horse B2906.812.35 %

Answer: Horse B is more consistent because its CV (2.35 %) is much smaller than that of Horse A (6.93 %). Horse B also has the higher average.

✓ Answer checked by Claude Sonnet 5.5

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