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  2. Schirmer's test - Wikipedia

    en.wikipedia.org/wiki/Schirmer's_test

    Schirmer test = 0,00 in Sjögren's syndrome. The test works by the principle of capillary action, which allows the water in tears to travel along the length of a paper test strip in an identical fashion as a horizontal capillary tube. The rate of travel along the test strip is proportional to the rate of tear production.

  3. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1] The choice of the test depends on many properties of the research question. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use. [3] [4] [5]

  4. File:Schirmer test =0,00.jpg - Wikipedia

    en.wikipedia.org/wiki/File:Schirmer_test_=0,00.jpg

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  5. Statistical hypothesis test - Wikipedia

    en.wikipedia.org/wiki/Statistical_hypothesis_test

    The interesting result is that consideration of a real population and a real sample produced an imaginary bag. The philosopher was considering logic rather than probability. To be a real statistical hypothesis test, this example requires the formalities of a probability calculation and a comparison of that probability to a standard.

  6. Scheirer–Ray–Hare test - Wikipedia

    en.wikipedia.org/wiki/Scheirer–Ray–Hare_test

    The parametric alternative to the Scheirer–Ray–Hare test is multi-factorial ANOVA, which requires a normal distribution of data within the samples. The Kruskal–Wallis test, from which the Scheirer–Ray–Hare test is derived, serves in contrast to this to investigate the influence of exactly one factor on the measured variable.

  7. Score test - Wikipedia

    en.wikipedia.org/wiki/Score_test

    If the null hypothesis is true, the likelihood ratio test, the Wald test, and the Score test are asymptotically equivalent tests of hypotheses. [8] [9] When testing nested models, the statistics for each test then converge to a Chi-squared distribution with degrees of freedom equal to the difference in degrees of freedom in the two models. If ...

  8. Secrets to Scaling: Lessons from E-Commerce Expert Lukas Schirmer

    www.aol.com/secrets-scaling-lessons-e-commerce...

    Digital marketing is the secret to scaling your business to the top. It is easier for businesses to stand out in their respective industries if they develop digital marketing skills, but handing ...

  9. Symmetric probability distribution - Wikipedia

    en.wikipedia.org/wiki/Symmetric_probability...

    Thus, a d-variate distribution is defined to be mirror symmetric when its chiral index is null. The distribution can be discrete or continuous, and the existence of a density is not required, but the inertia must be finite and non null. In the univariate case, this index was proposed as a non parametric test of symmetry. [2]