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This review provides the derivation of the sample size equation for continuous variables when the statistical analysis will be the Student's t-test.
According to the approximate derivation of the sample distribution in mathematical statistics, coefficient M should be reasonably assigned, depending on the number of encounters of K.
The derivation of the sample is shown in Figure 1.
Figure 1 shows the derivation of the sample.
See Figure 1 for details on the derivation of the sample.
The derivation of the sample studied is shown in Figure 1.
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In [9], Vaidyanathan and Liu further exploits the relationship between the multichannel sampling theorem and multirate filterbanks, and utilizes the framework of the filterbanks as a convenient tool for the derivation of the sampling theorems.
Response rates were generally high: in the derivation of the original sample, household response rate was 95% overall, allowing little if any bias, whilst response rates within the sample for SF-36 (93%) and WTP (92%) were also very good.
We establish briefly the relations needed for the derivations of the sampling theorems and construct the Green's function for the problem.
2010, doi 10.1007/s12190-010-0404-9) to establish the needed relations for the derivations of the sampling theorems including the construction of Green's matrix as well as the eigen-vector-function expansion theorem.
Figure 1 shows the derivation of the study sample.
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