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#has-images #reading-8-statistical-concepts-and-market-returns
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When the variance is computed in a sample, the formula is [...]
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#has-images #reading-8-statistical-concepts-and-market-returns
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When the variance is computed in a sample, the formula is [...]
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#has-images #reading-8-statistical-concepts-and-market-returns
Question
When the variance is computed in a sample, the formula is [...]
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Subject 6. Measures of Dispersion
read out a distribution is. It is computed as the average squared deviation of each number from its mean. The formula for the variance in a population is where: μ = the mean N = the number of scores <span>When the variance is computed in a sample, the statistic(m = the mean of the sample) can be used. However, s 2 is a biased estimate of σ 2 . By far the most common formula for computing variance in a sample is: 
Subject 6. Measures of Dispersion
read out a distribution is. It is computed as the average squared deviation of each number from its mean. The formula for the variance in a population is where: μ = the mean N = the number of scores <span>When the variance is computed in a sample, the statistic(m = the mean of the sample) can be used. However, s 2 is a biased estimate of σ 2 . By far the most common formula for computing variance in a sample is: 
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