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  2. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.

  3. Chebyshev's inequality - Wikipedia

    en.wikipedia.org/wiki/Chebyshev's_inequality

    The rule is often called Chebyshev's theorem, about the range of standard deviations around the mean, in statistics. The inequality has great utility because it can be applied to any probability distribution in which the mean and variance are defined. For example, it can be used to prove the weak law of large numbers.

  4. File:Empirical rule histogram.svg - Wikipedia

    en.wikipedia.org/wiki/File:Empirical_rule...

    English: This histogram demonstrates the empirical rule, also known as the 68–95–99.7 rule. Note that the areas of histogram bars are not proportional to the stated probabilities, unless by an incredible coincidence.

  5. Chebyshev's theorem - Wikipedia

    en.wikipedia.org/wiki/Chebyshev's_theorem

    Chebyshev's theorem is any of several theorems proven by Russian mathematician Pafnuty Chebyshev. Bertrand's postulate, that for every n there is a prime between n and 2n. Chebyshev's inequality, on the range of standard deviations around the mean, in statistics; Chebyshev's sum inequality, about sums and products of decreasing sequences

  6. Standard deviation - Wikipedia

    en.wikipedia.org/wiki/Standard_deviation

    If the standard deviation were zero, then all men would share an identical height of 69 inches. Three standard deviations account for 99.73% of the sample population being studied, assuming the distribution is normal or bell-shaped (see the 68–95–99.7 rule, or the empirical rule, for more information).

  7. “Indicators of economic downturns like the Sahm rule are empirical regularities from the past, not laws of nature,” Sahm wrote last November. On Friday, we learned that the unemployment rate ...

  8. Law of large numbers - Wikipedia

    en.wikipedia.org/wiki/Law_of_large_numbers

    The Italian mathematician Gerolamo Cardano (1501–1576) stated without proof that the accuracies of empirical statistics tend to improve with the number of trials. [9] [3] This was then formalized as a law of large numbers. A special form of the LLN (for a binary random variable) was first proved by Jacob Bernoulli.

  9. Saquon’s Record Chase, Ravens’ Playoff Push, and Shocking ...

    www.aol.com/sports/saquon-record-chase-ravens...

    6x Pro Bowl DT Gerald McCoy and 2x Super Bowl champion Kyle Van Noy break down Saquon Barkley’s historic 2,000-yard season and debate whether the Eagles should let him chase Eric Dickerson’s ...