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What is the difference between population and sample variance?

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Population variance measures how data points spread around the mean for an entire population and divides by NN (the total population size). Sample variance estimates this spread for a sample and divides by n−1n−1 to adjust for the smaller sample size, making it an unbiased estimate.

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