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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. CSS grid layout - Wikipedia

    en.wikipedia.org/wiki/CSS_grid_layout

    The first comprehensive draft of a grid layout for CSS was created by Phil Cupp at Microsoft in 2011 and implemented in Internet Explorer 10 behind a -ms-vendor prefix.The syntax was restructured and further refined through several iterations in the CSS Working Group, led primarily by Elika Etemad and Tab Atkins Jr.

  4. File:Interaction between sample size, effect size, and ...

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

    As the sample size increases, the distributions narrow, leading to clearer separation between the hypotheses and higher power. Similarly, a larger effect size increases the distance between the distributions, resulting in greater power. ```python import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm Parameters

  5. Estimation statistics - Wikipedia

    en.wikipedia.org/wiki/Estimation_statistics

    In the 1930s Jerzy Neyman published a series of papers on statistical estimation where he defined the mathematics and terminology of confidence intervals. [12] [13] [14] In the 1960s, estimation statistics was adopted by the non-physical sciences with the development of the standardized effect size by Jacob Cohen.

  6. Strictly standardized mean difference - Wikipedia

    en.wikipedia.org/wiki/Strictly_standardized_mean...

    In statistics, the strictly standardized mean difference (SSMD) is a measure of effect size. It is the mean divided by the standard deviation of a difference between two random values each from one of two groups.

  7. Probability of superiority - Wikipedia

    en.wikipedia.org/wiki/Probability_of_superiority

    The probability of superiority or common language effect size is the probability that, when sampling a pair of observations from two groups, the observation from the second group will be larger than the sample from the first group. It is used to describe a difference between two groups.

  8. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample.The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.

  9. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    In survey research, the design effect is a number that shows how well a sample of people may represent a larger group of people for a specific measure of interest (such as the mean).