DannyJoris/index.html

## index.html
<!DOCTYPE html>
<html>
  <head>
    <meta http-equiv="Content-Type" content="text/html;charset=utf-8"/>
    <style type="text/css">
body {
  font: 300 13px "Helvetica Neue", Helvetica;
}
    </style>
  </head>
  <body>
    <script type="text/javascript">
var arr = [1, 2, 3, 5, 10, 25];

var arrLength = arr.length;
var total = 0;
var mean;
var varianceTotal = 0;
var biasedVariance = 0;
var unbiasedVariance = 0;

// array
document.write("array: " + arr + "<br>");

// array length
document.write("arrLength: " + arrLength + "<br>");
// total
for (var i = 0; i < arrLength; i++) {
    total += arr[i];
}
document.write("total: " + total + "<br>");
// mean
mean = parseFloat(total / arrLength).toFixed(2);
document.write("<strong>mean:</strong> " + mean + "<br>");

// sample variance total
for (var i = 0; i < arrLength; i++) {
    var square;
    var squareSum;
    squareSum = (arr[i] - mean);
    square = squareSum * squareSum;
    square = parseFloat(square).toFixed(2);

    varianceTotal = parseFloat(varianceTotal) + parseFloat(square);
    document.write("square " + i + ": " + square + "<br>");
}
varianceTotal = parseFloat(varianceTotal).toFixed(2);
document.write("variance total: " + varianceTotal + "<br>");

// biased variance (population)
biasedVariance = (varianceTotal / arrLength);
biasedVariance = parseFloat(biasedVariance).toFixed(2);
document.write("<strong>biased variance (population):</strong> " + biasedVariance + "<br>");

// unbiased variance (sample)
unbiasedVariance = (varianceTotal / (arrLength - 1));
unbiasedVariance = parseFloat(unbiasedVariance).toFixed(2);
document.write("<strong>unbiased variance (sample):</strong> " + unbiasedVariance + "<br>");
    </script>
  </body>
</html>
	<!DOCTYPE html>
	<html>
	<head>
	<meta http-equiv="Content-Type" content="text/html;charset=utf-8"/>
	<style type="text/css">
	body {
	font: 300 13px "Helvetica Neue", Helvetica;
	}
	</style>
	</head>
	<body>
	<script type="text/javascript">
	var arr = [1, 2, 3, 5, 10, 25];

	var arrLength = arr.length;
	var total = 0;
	var mean;
	var varianceTotal = 0;
	var biasedVariance = 0;
	var unbiasedVariance = 0;

	// array
	document.write("array: " + arr + "<br>");

	// array length
	document.write("arrLength: " + arrLength + "<br>");
	// total
	for (var i = 0; i < arrLength; i++) {
	total += arr[i];
	}
	document.write("total: " + total + "<br>");
	// mean
	mean = parseFloat(total / arrLength).toFixed(2);
	document.write("<strong>mean:</strong> " + mean + "<br>");

	// sample variance total
	for (var i = 0; i < arrLength; i++) {
	var square;
	var squareSum;
	squareSum = (arr[i] - mean);
	square = squareSum * squareSum;
	square = parseFloat(square).toFixed(2);

	varianceTotal = parseFloat(varianceTotal) + parseFloat(square);
	document.write("square " + i + ": " + square + "<br>");
	}
	varianceTotal = parseFloat(varianceTotal).toFixed(2);
	document.write("variance total: " + varianceTotal + "<br>");

	// biased variance (population)
	biasedVariance = (varianceTotal / arrLength);
	biasedVariance = parseFloat(biasedVariance).toFixed(2);
	document.write("<strong>biased variance (population):</strong> " + biasedVariance + "<br>");

	// unbiased variance (sample)
	unbiasedVariance = (varianceTotal / (arrLength - 1));
	unbiasedVariance = parseFloat(unbiasedVariance).toFixed(2);
	document.write("<strong>unbiased variance (sample):</strong> " + unbiasedVariance + "<br>");
	</script>
	</body>
	</html>