Summation of All Numbers

sum_value(data)

Calculates the sum of all elements in a data set

Parameters

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

Raises

  • TypeError – Argument must be a 1-dimensional list

  • TypeError – Elements of argument must be integers or floats

Returns

total – Number representing the sum of all elements in the original set

Return type

float

See also

mean_value(), correlation_coefficient()

Notes

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

  • Sum of all numbers in set: \(\sum\limits_{i=1}^n a_i = a_1 + a_2 + \cdots + a_n\)

  • Summation Notation

Examples

Import sum_value function from regressions library
>>> from regressions.statistics.summation import sum_value
Find the total sum of all values in the array [2, 3, 5, 7]
>>> total_1 = sum_value([2, 3, 5, 7])
>>> print(total_1)
17.0
Find the total sum of all values in the array [1, -1, 1, -1]
>>> total_2 = sum_value([1, -1, 1, -1])
>>> print(total_2)
0.0