I have a program that tests a randomness function for how truly random it is:
function testRandom(randomF, tests, intendedMean){
let total = 0;
for(let t = 0; t < tests; t++){
total+=randomF();
}
return Math.abs((total/tests) - intendedMean);
}
const randomFunc = () => { return ~~(Math.random() * 2) + 1 }
//returns a randomly choosen 1 or 2.
console.log(testRandom(randomFunc, 100, 1.5));But is their a way to take out the intended mean and still have a relatively accurate output? My ideas so far are to create a standard deviation set up, but I'm not sure that's the right idea.
I've found the answer. I'm not sure if standard deviation is the correct method, but if it is:
function testRandom(func, tests) {
let data = [];
for (let i = 0; i < tests; i++) {
data.push(func())
}
let result = 0;
const u = data.reduce((a, b) => a + b, 0) / data.length;
for (let d of data) {
result += (d - u) ** 2;
}
return Math.sqrt(result / data.length + 1) - 1;
}
console.log(testRandom(() => {
return Math.random()
}, 100));This will do the job.