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Business Mathematics and Statistics · Ch 8 — Measures of Central Tendency

Geometric Mean and Harmonic Mean

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Geometric Mean and Harmonic Mean

Not every situation calls for the arithmetic mean, even when a single "average" figure is genuinely needed — the geometric mean and harmonic mean exist precisely because certain kinds of business data are distorted, sometimes badly, by a simple arithmetic average.

Geometric Mean (GM). For nn positive observations x1,x2,…,xnx_1, x_2, \ldots, x_n:

GM=x1⋅x2⋯xnnGM = \sqrt[n]{x_1 \cdot x_2 \cdots x_n}

For more than two or three values this is computed via logarithms, since taking an nn-th root directly by hand is impractical:

log⁡GM=Σlog⁡xn⇒GM=antilog(Σlog⁡xn)\log GM = \dfrac{\Sigma \log x}{n} \quad\Rightarrow\quad GM = \text{antilog}\left(\dfrac{\Sigma \log x}{n}\right)

The geometric mean is the correct average whenever values combine multiplicatively rather than additively — most importantly, rates of growth (population growth, compound interest, index numbers, and year-on-year business growth rates), where a simple arithmetic mean of successive growth rates systematically overstates the true average rate.

Harmonic Mean (HM). For nn positive observations:

HM=nΣ(1x)HM = \dfrac{n}{\Sigma\left(\dfrac{1}{x}\right)}

For just two values xx and yy, this simplifies to:

HM=2xyx+yHM = \dfrac{2xy}{x+y} …

Definition 1Geometric Mean

The n-th root of the product of n positive observations; the correct average for combining rates of …

Definition 2Harmonic Mean

The reciprocal of the arithmetic mean of the reciprocals of the observations; the correct average for rates such as speed that are expressed pe …