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The sentence can be given as a grammatical puzzle [7] [8] [9] or an item on a test, [1] [2] for which one must find the proper punctuation to give it meaning. Hans Reichenbach used a similar sentence ("John where Jack had...") in his 1947 book Elements of Symbolic Logic as an exercise for the reader, to illustrate the different levels of language, namely object language and metalanguage.
Degree of Difference Testing, which is also known as DOD is a method to determine an overall difference among test and control groups when product in question has exhibited variability that would have caused because of multiple factors such as the production time, use of multiple components, preparation or others.
However, the studentized range distribution used to determine the level of significance of the differences considered in Tukey's test has vastly broader application: It is useful for researchers who have searched their collected data for remarkable differences between groups, but then cannot validly determine how significant their discovered ...
Discrimination testing is a technique employed in sensory analysis to determine whether there is a detectable difference among two or more products. The test uses a group of assessors (panellists) with a degree of training appropriate to the complexity of the test to discriminate from one product to another through one of a variety of experimental designs.
The researchers invited 83 participants and asked them all to read email responses to an ad for a housemate, which either contained no errors or had been altered to include typos (e.g. "teh ...
Tukey's test is either: Tukey's range test, also called Tukey method, Tukey's honest significance test, Tukey's HSD (Honestly Significant Difference) test;
“The big difference with this test is the cost: It takes only 8 microliters of blood and 45 minutes to run the test at a cost of less than a penny per sample,” lead author Dr. Jose L. Montoya ...
If the omnibus test fails to find significant differences between all means, it means that no difference has been found between any combinations of the tested means. In such, it protects family-wise Type I error, which may be increased if overlooking the omnibus test. Some debates have occurred about the efficiency of the omnibus F Test in ANOVA.