Mean of Data Set

mean_value(data)

Determines the arithmetic mean of a data set

Parameters

data (list of int or float) – List of numbers to analyze

Raises

  • TypeError – Argument must be a 1-dimensional list

  • TypeError – Elements of argument must be integers or floats

Returns

mean – Arithmetic mean of the data set

Return type

float

See also

sum_value(), median_value(), correlation_coefficient()

Notes

  • Set of numbers: \(a_i = \{ a_1, a_2, \cdots, a_n \}\)

  • Mean of all numbers in set: \(\bar{a} = \frac{1}{n}\cdot{\sum\limits_{i=1}^n a_i}\)

  • Arithmetic Mean

Examples

Import mean_value function from regressions library
>>> from regressions.statistics.mean import mean_value
Determine the mean of the set [21, 53, 3, 68, 43, 9, 72, 19, 20, 1]
>>> mean_even = mean_value([21, 53, 3, 68, 43, 9, 72, 19, 20, 1])
>>> print(mean_even)
30.9
Determine the mean of the set [12, 81, 13, 8, 42, 72, 91, 20, 20]
>>> mean_odd = mean_value([12, 81, 13, 8, 42, 72, 91, 20, 20])
>>> print(mean_odd)
39.888888888888886