Geometric mean arithmetic mean or means calculate center frequeny calculation average of numbers bandwidth

calculate calculation computation compute conversion convert geometric mean acoustics center frequency cycles per second wavelength what is geometric mean arithmetic means two number numbers middle value values band width average telephone phone frequency band logarithmic bandwidth waves reflections how do you find the average of numbers cut-off frequency temperature wave waves length Hz Hertz sound comparison of geometric und arithmetic mean sengpielaudio Sengpiel Berlin

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• Calculation of the geometric mean of two numbers •
e.g. calculating the center frequency of a bandwidth

Comparison between the arithmetic mean (average) and the geometric mean
or the difference between arithmetic average and geometric average.

Enter two values in the boxes, click on the calculation button and compare the answers.

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The geometric mean between two numbers is:

The arithmetic mean between two numbers is:

Example: The cut-off frequencies of a phone line are f₁ = 300 Hz and f₂ = 3300 Hz. What is the center frequency?

The center frequency is f₀ = 995 Hz as geometric mean and not f₀ = 1800 Hz (arithmetic mean). What a difference!

The HiFi range goes from f₁ = 20 Hz to f₂ = 20000 Hz. The correct center frequency is f₀ = 632.5 Hz (!)
as geometric mean and not the value 10.010 kHz of the arithmetic mean calculation. Look here:

Frequency line logarithmic - sengpielaudio

Audible frequency range with a logarithmic scale. The distance from 20 Hz to 632 Hz is
equal to the distance from 632 Hz to 20 kHz. Look at the marked points in the figure.

Mittenfrequenz

The geometric mean of two numbers is the square root of their product.
The geometric mean of three numbers is the cubic root of their product.

The arithmetic mean is the sum of the numbers, divided by the quantity of the numbers.
Other names for arithmetic mean: average, mean, arithmetic average.

In general, you can only take the geometric mean of positive numbers.

The geometric mean, by definition, is the nth root of the product of the n units in a data set. For example, the geometric mean of 5, 7, 2, 1 is (5 x 7 x 2 x 1)1/4 = 2.893.
Alternatively, if you log transform each of the individual units the geometric will be the exponential of the arithmetic mean of these log-transformed values. So, reusing the example above, exp [ ( ln(5) + ln(7) + ln(2) + ln(1) ) / 4 ] = 2.893

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