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  2. Effect size - Wikipedia

    en.wikipedia.org/wiki/Effect_size

    In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...

  3. Jacob Cohen (statistician) - Wikipedia

    en.wikipedia.org/wiki/Jacob_Cohen_(statistician)

    Jacob Cohen (April 20, 1923 – January 20, 1998) was an American psychologist and statistician best known for his work on statistical power and effect size, which helped to lay foundations for current statistical meta-analysis [1] [2] and the methods of estimation statistics. He gave his name to such measures as Cohen's kappa, Cohen's d, and ...

  4. Cohen's h - Wikipedia

    en.wikipedia.org/wiki/Cohen's_h

    In statistics, Cohen's h, popularized by Jacob Cohen, is a measure of distance between two proportions or probabilities. Cohen's h has several related uses: It can be used to describe the difference between two proportions as "small", "medium", or "large". It can be used to determine if the difference between two proportions is "meaningful".

  5. Talk:Effect size - Wikipedia

    en.wikipedia.org/wiki/Talk:Effect_size

    Hi all and especially Grant, Have you noticed that the current version of the article - the section on Cohen & r effect size interpretation - says that "Cohen gives the following guidelines for the social sciences: small effect size, r = 0.1 − 0.23; medium, r = 0.24 − 0.36; large, r = 0.37 or larger" (references: Cohen's 1988 book and 1992 ...

  6. Probability of superiority - Wikipedia

    en.wikipedia.org/wiki/Probability_of_superiority

    In other words, the correlation is the difference between the common language effect size and its complement. For example, if the common language effect size is 60%, then the rank-biserial r equals 60% minus 40%, or r = 0.20. The Kerby formula is directional, with positive values indicating that the results support the hypothesis.

  7. DOGE Versus the Bureaucracy - AOL

    www.aol.com/news/doge-versus-bureaucracy...

    Taking a Swing at the Size and Cost of Government. ... beginning in 1988 and ending in 2005. Part of what made the effort successful was that it was slow and deliberate, giving the DOD time to ...

  8. NYPD’s $400K-a-year top earner Quathisha Epps is retiring ...

    www.aol.com/nypd-400k-top-earner-quathisha...

    The department has 30 days to investigate before the pension goes into effect. Epps declined to comment when reached by The Post Wednesday. The NYPD didn’t return a request for comment.

  9. Key members of OPEC+ alliance are putting off production ...

    www.aol.com/opec-oil-alliance-faces-stagnant...

    The OPEC+ members decided at an online meeting to postpone production increases that had been scheduled to take effect Jan. 1. The plan had been to start gradually restoring 2.2 million barrels ...