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Free images can be used in any article where their presence would add value. As long as there is a consensus among the editors working on an article that the image is appropriate for the article, it's safe to say that it can remain in an article. Free images can even be modified and used elsewhere. Non-free images, however, are subject to ...
Sample of a well maintained data [clarification needed]. In statistics and research design, an index is a composite statistic – a measure of changes in a representative group of individual data points, or in other words, a compound measure that aggregates multiple indicators.
See also Reader's index to Wikipedia and Editor's index to Commons. For a smaller listing of "help" and "how to" pages, see the Help directory. For other useful directories and indexes, see Wikipedia:Directories and indexes
The secretary problem demonstrates a scenario involving optimal stopping theory [1] [2] that is studied extensively in the fields of applied probability, statistics, and decision theory. It is also known as the marriage problem , the sultan's dowry problem , the fussy suitor problem , the googol game , and the best choice problem .
Though there are many approximate solutions (such as Welch's t-test), the problem continues to attract attention [4] as one of the classic problems in statistics. Multiple comparisons: There are various ways to adjust p-values to compensate for the simultaneous or sequential testing of hypotheses. Of particular interest is how to simultaneously ...
This clickable imagemap, using the article "Atom" as an example, demonstrates the typical profile for an article's development through the levels. Hold the mouse over a number to see key events, and click on a number to see that version of the article. Please note that until 2008, a C-Class rating did not exist on the project, and as such this ...
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A normal quantile plot for a simulated set of test statistics that have been standardized to be Z-scores under the null hypothesis. The departure of the upper tail of the distribution from the expected trend along the diagonal is due to the presence of substantially more large test statistic values than would be expected if all null hypotheses were true.