Standard Error of the Mean

Problem

Return the standard error s / sqrt(n), where s is the sample standard deviation with denominator n - 1. Return 0.0 when n < 2 or the sample variance is zero.

Hint

Sample variance uses n - 1, then divide its square root by sqrt(n).

Test cases

case 1

in: [[1,2,3,4,5]]

expected: 0.7071067811865476

case 2

in: [[2,4,4,4,5,5,7,9]]

expected: 0.7559289460184544

case 3

in: [[5]]

expected: 0

case 4

in: [[]]

expected: 0

case 5

in: [[1,3]]

expected: 1

Starter codePython

def standard_error(data):
    # Your code here
    pass

5 test cases · run your code against them in the editor