Tool to calculate the different means of a number list. The mathematic mean of a list of numbers is one of the statistical representations that can illustrate the distribution of the numbers in the list.

Mean of Numbers - dCode

Tag(s) : Mathematics, Data processing

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Tool to calculate the different means of a number list. The mathematic mean of a list of numbers is one of the statistical representations that can illustrate the distribution of the numbers in the list.

Consider a list of \( n \) values \( X = \{x_1, x_2, \dots, x_n \} \). The arithmetic mean is defined by the sum of the values divided by the number of values \( n \). $$ \bar{x} = {1 \over n} \ sum_{i=1}^n{x_i} $$

Example: The list of 4 numbers 12, 14, 18, 13 its average value is (12+14+18+13)/4=14.25

When values are associaed with coefficients, then use the weighted arithmetic mean.

Consider a list of \( n \) values \( X = \{x_1, x_2, \dots, x_n \} \). The geometric mean is defined by the \( n \)th root of the product of values. $$ \bar{x}_{geom} = \sqrt[n]{\prod_{i=1}^n{x_i}} $$

The geometric mean is often used to calculate an average interest rate.

Example: The list of 3 values 1, 1.5, 2 has for geometric mean \( sqrt[3]{ 1 \times 1.5 \times 2 } \approx 1.4422 \)

Consider a list of n values \( X = \{x_1, x_2, \dots, x_n \} \). The harmonic mean is defined by the ratio of n to the sum of the inverse of the values. $$ \bar{x}_{harm} = \frac{n}{\sum_{i=1}^n \frac{1}{x_i}} $$

The harmonic mean is often used to compute a speed average.

Example: The list of speed values 50 and 100 has for harmonic mean \( 2/(1/50+1/100) = 66.67 \)

Consider a list of n values \( X = \{x_1, x_2, \dots, x_n \} \). The root mean square (or quadratic mean) is defined by the root of the sum of each value squared, divided by root of n: $$ \bar{x}_{quad} = \sqrt{\frac{1}{n}\sum_{i=1}^n{x_i^2}} $$

The RMS is used in electricity to calculate the effective value.

Example: The list of 3 values 4,5 and 6 has for RMS \( \sqrt{\frac{4^2+5^2+6^2}{3}} = \approx 5.06 \)

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Source : https://www.dcode.fr/mean

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