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High Quality Content by WIKIPEDIA articles! In probability theory and statistics, the variance of a random variable or distribution is the expected, or mean, value of the square of the deviation of that variable from its expected value or mean. Thus the variance is a measure of the amount of variation within the values of that variable, taking account of all possible values and their probabilities or weightings, not just the extremes which give the range. For example, a perfect die, when thrown, has expected value, expected absolute deviation the mean of the equally likely absolute deviationsbut expected square deviation or variance.…mehr

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High Quality Content by WIKIPEDIA articles! In probability theory and statistics, the variance of a random variable or distribution is the expected, or mean, value of the square of the deviation of that variable from its expected value or mean. Thus the variance is a measure of the amount of variation within the values of that variable, taking account of all possible values and their probabilities or weightings, not just the extremes which give the range. For example, a perfect die, when thrown, has expected value, expected absolute deviation the mean of the equally likely absolute deviationsbut expected square deviation or variance.