Standard Error of Measurement

Problem

Return the standard error of measurement sd * sqrt(1 - reliability). Return 0.0 when sd <= 0 or reliability is outside [0, 1].

Hint

Unreliability inflates the spread of measurement error.

case 1

in: [15,0.91]

expected: 4.499999999999999

case 2

in: [10,0.75]

expected: 5

case 3

in: [15,1]

expected: 0

case 4

in: [15,0]

expected: 15

case 5

in: [10,1.2]

expected: 0

Starter codePython

def sem_measurement(sd, reliability):
    # Your code here
    pass

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