kolmogorov-smirnov test

kolmogorov-smirnov test

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1

it is a test that tests whether the distribution of a sample is evenly distributed, when you want to patch any distribution it draws a hypothetical* conclusion about how reliable you want to be.

2

it is a test that two scientists named kolmogorov and smirnov named together because they invented it together, and it has the power to make even smirnoff forget when immersed in it.

3

the distribution suitability test, which i involuntarily broke off because of the connotation he made when his name was mentioned in the class (see smirnoff), and thus i showed all my ignorance without hesitation. the teacher reminds me of my laughter for a week and jokes about the "vodka test"...

4

it is an interesting test. let's see that, like most of the non-parametric statistical methods, when its application was first seen, "do you cross with me?" creates the tapk.

5

it is the test that kolmogorov performed together with smirnov, which is probably a visual hallucination. if the significance is greater than 0.05, it returns to normal; if you are going to do t test, anova, multiple regression etc., your data should be normally distributed so that you can pass these tests in spss and assign the data above.

6

a statistical test where you can say that your data is normally distributed if the assimp significance two-tailed value is greater than or equal to 0.05. others; (see: shapiro wilk test) (see: anderson darling test)

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