When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. 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

  3. 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.

  4. 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 ...

  5. 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.

  6. Jarque–Bera test - Wikipedia

    en.wikipedia.org/wiki/Jarque–Bera_test

    In statistics, the Jarque–Bera test is a goodness-of-fit test of whether sample data have the skewness and kurtosis matching a normal distribution. The test is named after Carlos Jarque and Anil K. Bera. The test statistic is always nonnegative. If it is far from zero, it signals the data do not have a normal distribution.

  7. Shapiro–Wilk test - Wikipedia

    en.wikipedia.org/wiki/Shapiro–Wilk_test

    The Shapiro–Wilk test tests the null hypothesis that a sample x 1, ..., x n came from a normally distributed population. The test statistic is = (= ()) = (¯), where with parentheses enclosing the subscript index i is the ith order statistic, i.e., the ith-smallest number in the sample (not to be confused with ).

  8. Berlese funnel - Wikipedia

    en.wikipedia.org/wiki/Berlese_funnel

    A funnel (E) contains a sample of soil or leaf litter (D), and a heat source (F), in this case an electric lamp (G), heats the sample. Animals escaping from the desiccation of the sample descend through a filter (C) into a preservative liquid (A) in a receptacle (B).

  9. Bill Buckner's 1986 World Series error - Wikipedia

    en.wikipedia.org/wiki/Bill_Buckner's_1986_World...

    The 1986 Red Sox were leading the heavily favored New York Mets 3 games to 2 in the 1986 World Series when Game 6 went into extra innings.For his part, Buckner was batting just .143 against Mets pitching, and he was 0-for-5 in Game 6.

  1. Related searches kegunaan corong buchner metode uji normalitas data dengan excel yang

    kegunaan corong buchner metode uji normalitas data dengan excel yang digunakan