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The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]
Matched or independent study designs may be used. Power, sample size, and the detectable alternative hypothesis are interrelated. The user specifies any two of these three quantities and the program derives the third. A description of each calculation, written in English, is generated and may be copied into the user's documents.
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.
The test case is collapsed and given a green heading if all the template outputs are the same. If any of the template outputs differ, the test case is expanded and given a yellow heading. _resetRefs: If set to "yes", any references generated by the templates tested are reset after each template is expanded. _showcode: Show the template code ...
Toggle the table of contents. Size (statistics) ... Download as PDF; Printable version; ... In many cases the size and level of a test are equal. References
For hand calculations, the test is feasible only in the case of a 2 × 2 contingency table. However the principle of the test can be extended to the general case of an m × n table, [9] [10] and some statistical packages provide a calculation (sometimes using a Monte Carlo method to obtain an approximation) for the more general case. [11] The ...
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In some cases, this is better. = ((, | | /)). [citation needed] However, in situations with large sample sizes, using the correction will have little effect on the value of the test statistic, and hence the p-value.