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  2. A/B testing - Wikipedia

    en.wikipedia.org/wiki/A/B_testing

    A/B testing (also known as bucket testing, split-run testing, or split testing) is a user experience research method. [1] A/B tests consist of a randomized experiment that usually involves two variants (A and B), [ 2 ] [ 3 ] [ 4 ] although the concept can be also extended to multiple variants of the same variable.

  3. Sign test - Wikipedia

    en.wikipedia.org/wiki/Sign_test

    The sign test is a special case of the binomial test where the probability of success under the null hypothesis is p=0.5. Thus, the sign test can be performed using the binomial test, which is provided in most statistical software programs. On-line calculators for the sign test can be founded by searching for "sign test calculator".

  4. Power (statistics) - Wikipedia

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

    Illustration of the power of a statistical test, for a two sided test, through the probability distribution of the test statistic under the null and alternative hypothesis. α is shown as the blue area, the probability of rejection under null, while the red area shows power, 1 − β, the probability of correctly rejecting under the alternative.

  5. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    Fisher's exact test (also Fisher-Irwin test) is a statistical significance test used in the analysis of contingency tables. [ 1 ] [ 2 ] [ 3 ] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes.

  6. 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 ...

  7. Sequential probability ratio test - Wikipedia

    en.wikipedia.org/wiki/Sequential_probability...

    The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald [1] and later proven to be optimal by Wald and Jacob Wolfowitz. [2] Neyman and Pearson's 1933 result inspired Wald to reformulate it as a sequential analysis problem.

  8. Your Body Fat Percentage Can Be a Way to Measure Your Health

    www.aol.com/lifestyle/body-fat-percentage-way...

    For example, DEXA Scan is a 10-minute scan that quantifies your body composition; hydrostatic (dunk tank) testing measures body fat percentage by calculating the amount of water displaced when you ...

  9. MDCalc - Wikipedia

    en.wikipedia.org/wiki/MDCalc

    MDCalc is a free online medical reference for healthcare professionals that provides point-of-care clinical decision-support tools, including medical calculators, scoring systems, and algorithms. [1]