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  2. One in ten rule - Wikipedia

    en.wikipedia.org/wiki/One_in_ten_rule

    In statistics, the one in ten rule is a rule of thumb for how many predictor parameters can be estimated from data when doing regression analysis (in particular proportional hazards models in survival analysis and logistic regression) while keeping the risk of overfitting and finding spurious correlations low. The rule states that one ...

  3. 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 or 3 σ, 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 ...

  4. Rule of three (statistics) - Wikipedia

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

    The rule can then be derived [2] either from the Poisson approximation to the binomial distribution, or from the formula (1−p) n for the probability of zero events in the binomial distribution. In the latter case, the edge of the confidence interval is given by Pr( X = 0) = 0.05 and hence (1− p ) n = .05 so n ln (1– p ) = ln .05 ≈ −2.996.

  5. Texas House Bill 588 - Wikipedia

    en.wikipedia.org/wiki/Texas_House_Bill_588

    Texas House Bill 588, commonly referred to as the "Top 10% Rule", is a Texas law passed in 1997. It was signed into law by then governor George W. Bush on May 20, 1997. The law guarantees Texas students who graduated in the top ten percent of their high school class automatic admission to all state-funded universities.

  6. Independence (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Independence_(probability...

    Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.Two events are independent, statistically independent, or stochastically independent [1] if, informally speaking, the occurrence of one does not affect the probability of occurrence of the other or, equivalently, does not affect the odds.

  7. Percentage - Wikipedia

    en.wikipedia.org/wiki/Percentage

    Thus, in the above example, after an increase and decrease of x = 10 percent, the final amount, $198, was 10% of 10%, or 1%, less than the initial amount of $200. The net change is the same for a decrease of x percent, followed by an increase of x percent; the final amount is p (1 - 0.01 x )(1 + 0.01 x ) = p (1 − (0.01 x ) 2 ) .

  8. Forget the 4% Rule? Here's What You Should Really Be ... - AOL

    www.aol.com/forget-4-rule-heres-really-113000429...

    The stock market has historically averaged annual returns between 8% and 10%, but those year-to-year swings could be up or down 20% to 30% in any given year. ... The 4% rule gives you a basic idea ...

  9. Vitality curve - Wikipedia

    en.wikipedia.org/wiki/Vitality_curve

    The other 10% ("bottom 10") are nonproducers and should be fired. [ 1 ] [ 2 ] The often cited "80-20 rule", also known as the " Pareto principle " or the "Law of the Vital Few", whereby 80% of crimes are committed by 20% of criminals, or 80% of useful research results are produced by 20% of the academics, is an example of such rankings ...