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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] The parameters used are:
MIL-STD-105 D Quick reference Table, TABLE I and TABLE IIA MIL-STD-105 was a United States defense standard that provided procedures and tables for sampling by attributes based on Walter A. Shewhart , Harry Romig , and Harold F. Dodge sampling inspection theories and mathematical formulas.
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In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling. It is especially useful for bias and variance estimation. The jackknife pre-dates other common resampling methods such as the bootstrap .
In one-dimensional systematic sampling, progression through the list is treated circularly, with a return to the top once the list ends. The sampling starts by selecting an element from the list at random and then every k th element in the frame is selected, where k, is the sampling interval (sometimes known as the skip): this is calculated as: [3]
where n is the total sample size, X_ i is the sum of items correct for the ith respondent and ¯ is the mean of X_ i values. If it is important to use unbiased operators then the sum of squares should be divided by degrees of freedom ( n − 1) and the probabilities are multiplied by n / ( n − 1 ) . {\textstyle n/(n-1).}
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