Gaussian Equation Writing | Dataford Interview Questions

Write out the Gaussian equation.

Implement gaussian(x, mean, stddev) to return the Gaussian probability density at x: 1 / (stddev * sqrt(2π)) * exp(-0.5 * ((x - mean) / stddev)²). Inputs are numbers with stddev > 0; return a floating-point value. Results are graded within a small numerical tolerance.

Constraints

x, mean, and stddev are finite real numbers
0.1 <= stddev <= 10^6
-10^9 <= x, mean <= 10^9
Return the result as a floating-point number

Function Signature

def gaussian(x, mean, stddev):

Your question is Gaussian Equation Writing. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Write out the Gaussian equation.

Constraints

x, mean, and stddev are finite real numbers
0.1 <= stddev <= 10^6
-10^9 <= x, mean <= 10^9
Return the result as a floating-point number

Function Signature

def gaussian(x, mean, stddev):

Your question is Gaussian Equation Writing. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.