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edit approved Mar 24, 2016 at 23:14
Em.
edit approved Mar 24, 2016 at 23:14
Em.
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................................................... For questions regarding the variance of a random variable in probability, as well as the variance of a list or data in statistics.

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For questions regarding the variance of a random variable in probability, as well as the variance of a list or data in statistics.

removed becuase the material came from wikipedia or wolfram
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edit approved Feb 17, 2016 at 12:57
JKnecht
edit approved Feb 17, 2016 at 12:57
JKnecht
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This tag is for questions about variance. In probability theory and statistics, variance measures how far a set of numbers are spread out. A variance of zero indicates that all the values are identical. Variance is always non-negative: a small variance indicates that the data points tend to be very close to the mean and hence to each other, while a high variance indicates that the data points are very spread out around the mean and from each other.................................................

This tag is for questions about variance. In probability theory and statistics, variance measures how far a set of numbers are spread out. A variance of zero indicates that all the values are identical. Variance is always non-negative: a small variance indicates that the data points tend to be very close to the mean and hence to each other, while a high variance indicates that the data points are very spread out around the mean and from each other.

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edit approved Feb 16, 2016 at 8:41
JKnecht
edit approved Feb 16, 2016 at 8:41
JKnecht
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This tag is for questions about variance. In probability theory and statistics, variance measures how far a set of numbers are spread out. A variance of zero indicates that all the values are identical. Variance is always non-negative: a small variance indicates that the data points tend to be very close to the mean and hence to each other, while a high variance indicates that the data points are very spread out around the mean and from each other.

This tag is for questions about variance. In probability theory and statistics, variance measures how far a set of numbers are spread out. A variance of zero indicates that all the values are identical. Variance is always non-negative: a small variance indicates that the data points tend to be very close to the mean and hence to each other, while a high variance indicates that the data points are very spread out around the mean and from each other.

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