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  2. Normality test - Wikipedia

    en.wikipedia.org/wiki/Normality_test

    A graphical tool for assessing normality is the normal probability plot, a quantile-quantile plot (QQ plot) of the standardized data against the standard normal distribution. Here the correlation between the sample data and normal quantiles (a measure of the goodness of fit) measures how well the data are modeled by a normal distribution. For ...

  3. Büchner funnel - Wikipedia

    en.wikipedia.org/wiki/Büchner_funnel

    It is commonly thought to be named after the Nobel Laureate Eduard Buchner (without umlaut), but it is actually named after the industrial chemist Ernst Büchner. [2] A Büchner funnel fitted with Sintered Disc made of Boro 3.3 Glass. Diagram of filtration set-up using a Büchner flask

  4. Lilliefors test - Wikipedia

    en.wikipedia.org/wiki/Lilliefors_test

    Lilliefors test is a normality test based on the Kolmogorov–Smirnov test.It is used to test the null hypothesis that data come from a normally distributed population, when the null hypothesis does not specify which normal distribution; i.e., it does not specify the expected value and variance of the distribution. [1]

  5. Anderson–Darling test - Wikipedia

    en.wikipedia.org/wiki/Anderson–Darling_test

    The Anderson–Darling test is a statistical test of whether a given sample of data is drawn from a given probability distribution. In its basic form, the test assumes that there are no parameters to be estimated in the distribution being tested, in which case the test and its set of critical values is distribution-free. However, the test is ...

  6. D'Agostino's K-squared test - Wikipedia

    en.wikipedia.org/wiki/D'Agostino's_K-squared_test

    In statistics, D'Agostino's K 2 test, named for Ralph D'Agostino, is a goodness-of-fit measure of departure from normality, that is the test aims to gauge the compatibility of given data with the null hypothesis that the data is a realization of independent, identically distributed Gaussian random variables.

  7. Shapiro–Francia test - Wikipedia

    en.wikipedia.org/wiki/Shapiro–Francia_test

    If the data deviate strongly from a normal distribution, ′ will be smaller. [ 1 ] This test is a formalization of the older practice of forming a Q–Q plot to compare two distributions, with the x {\displaystyle x} playing the role of the quantile points of the sample distribution and the m {\displaystyle m} playing the role of the ...

  8. Büchner flask - Wikipedia

    en.wikipedia.org/wiki/Büchner_flask

    Büchner flask A Büchner funnel is attached to the flask via a black elastomer adapter. The hose barb is connected via vacuum hose to a vacuum source such as an aspirator. ...

  9. Funnel plot - Wikipedia

    en.wikipedia.org/wiki/Funnel_plot

    A symmetric inverted funnel shape arises from a ‘well-behaved’ data set, in which publication bias is unlikely. An asymmetric funnel indicates a relationship between treatment effect estimate and study precision.