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2. Standard deviation - Wikipedia

   en.wikipedia.org/wiki/Standard_deviation

   Cumulative probability of a normal distribution with expected value 0 and standard deviation 1. In statistics, the standard deviation is a measure of the amount of variation of the values of a variable about its mean. [1] A low standard deviation indicates that the values tend to be close to the mean (also called the expected value) of the set ...

3. Chebyshev's inequality - Wikipedia

   en.wikipedia.org/wiki/Chebyshev's_inequality

   Chebyshev's inequality. In probability theory, Chebyshev's inequality (also called the Bienaymé–Chebyshev inequality) provides an upper bound on the probability of deviation of a random variable (with finite variance) from its mean. More specifically, the probability that a random variable deviates from its mean by more than is at most ...

4. Unbiased estimation of standard deviation - Wikipedia

   en.wikipedia.org/wiki/Unbiased_estimation_of...

   Unbiased estimation of standard deviation. In statistics and in particular statistical theory, unbiased estimation of a standard deviation is the calculation from a statistical sample of an estimated value of the standard deviation (a measure of statistical dispersion) of a population of values, in such a way that the expected value of the ...

5. Algorithms for calculating variance - Wikipedia

   en.wikipedia.org/wiki/Algorithms_for_calculating...

   Sum ← Sum + x. SumSq ← SumSq + x × x. Var = (SumSq − (Sum × Sum) / n) / (n − 1) This algorithm can easily be adapted to compute the variance of a finite population: simply divide by n instead of n − 1 on the last line. Because SumSq and (Sum×Sum)/n can be very similar numbers, cancellation can lead to the precision of the result to ...

6. Median absolute deviation - Wikipedia

   en.wikipedia.org/wiki/Median_absolute_deviation

   The median absolute deviation is a measure of statistical dispersion. Moreover, the MAD is a robust statistic, being more resilient to outliers in a data set than the standard deviation. In the standard deviation, the distances from the mean are squared, so large deviations are weighted more heavily, and thus outliers can heavily influence it.

7. Deviation (statistics) - Wikipedia

   en.wikipedia.org/wiki/Deviation_(statistics)

   Deviation (statistics) Plot of standard deviation of a random distribution. In mathematics and statistics, deviation serves as a measure to quantify the disparity between an observed value of a variable and another designated value, frequently the mean of that variable. Deviations with respect to the sample mean and the population mean (or ...

8. Geometric standard deviation - Wikipedia

   en.wikipedia.org/wiki/Geometric_standard_deviation

   The geometric standard deviation is used as a measure of log-normal dispersion analogously to the geometric mean. [3] As the log-transform of a log-normal distribution results in a normal distribution, we see that the geometric standard deviation is the exponentiated value of the standard deviation of the log-transformed values, i.e. = ⁡ (⁡ (⁡)).

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   www.aol.com/games/puzzle

   Enjoy classic board games such as Chess, Checkers, Mahjong and more. No download needed, play free card games right now! Browse and play any of the 40+ online card games for free against the AI or ...