Compute Variance Manually

easy

Given a one-dimensional tensor `data` representing a set of samples, manually compute the biased variance (population variance) without using built-in functions specifically designed for variance computation. Return the biased variance of the data.

\sigma^2_{biased} = \frac{1}{N} \sum_{i=1}^{N} (x_i - \mu)^2

Where:

$x_i$ : Each individual data point.
$\mu$ : Mean of the data.
$\sigma^2_{biased}$ : Biased variance (population variance) of the data.
$N$ : Number of data points.

Examples:

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3.0

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Compute Variance Manually

Examples:

Hint

torch.mean