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Qué (quién) es Q test - definición

Q-test; Q test; Dixon Q test

Dixon's Q test

In statistics, Dixon's Q test, or simply the Q test, is used for identification and rejection of outliers. This assumes normal distribution and per Robert Dean and Wilfrid Dixon, and others, this test should be used sparingly and never more than once in a data set.

https://en.wikipedia.org/wiki/Dixon's_Q_test

Cochran's Q test

In statistics, in the analysis of two-way randomized block designs where the response variable can take only two possible outcomes (coded as 0 and 1), Cochran's Q test is a non-parametric statistical test to verify whether k treatments have identical effects.National Institute of Standards and Technology.

https://en.wikipedia.org/wiki/Cochran's_Q_test

Q with stroke

LETTER OF THE LATIN ALPHABET

Q̵; Ꝗ; Ꝗꝗ; Ꝙ

Q with stroke (Ꝗ, ꝗ) is a letter of the Latin alphabet, derived from writing the letter Q with the addition of a bar through the letter's descender. The letter was used by scribes during the Middle Ages, where it was employed primarily as an abbreviationa modern parallel of this would be abbreviating the word "and" with an ampersand (&).

https://en.wikipedia.org/wiki/Q_with_stroke

Wikipedia

Dixon's Q test

In statistics, Dixon's Q test, or simply the Q test, is used for identification and rejection of outliers. This assumes normal distribution and per Robert Dean and Wilfrid Dixon, and others, this test should be used sparingly and never more than once in a data set. To apply a Q test for bad data, arrange the data in order of increasing values and calculate Q as defined:

Q={\frac {\text{gap}}{\text{range}}}

Where gap is the absolute difference between the outlier in question and the closest number to it. If Q > Q_table, where Q_table is a reference value corresponding to the sample size and confidence level, then reject the questionable point. Note that only one point may be rejected from a data set using a Q test.

https://en.wikipedia.org/wiki/Dixon's Q test