Sentence examples for statistical formula for from inspiring English sources

Actually, Smart has his own statistical formula for success.

It contains a statistical formula for determining the efficiency of campaign spending, which Rove applies to a hundred and seventy-eight Texas counties likely to vote Republican, based on weighted averages of the Republican vote in recent elections.

The statistical formula for pooled variance was used to calculate the variance of the field duplicate data for leachate and tephra bulk chemical composition data.

Statistical pooling (please see additional file 1: appendix statistical formulae for further information) If fixed effect pooling can be used, pooled proportions are the average of all individual study results, weighted for the sample sizes.

Using an estimated IPV prevalence of 5percentt within orthopaedic clinics and standard statistical formulae for estimating sample size of prevalence studies, we have calculated that a sample size of 278 women is necessary for our study to provide an estimate of IPV prevalence with a 95percentt confidence interval between2.78percentand8.31percentrcent.

It found 594 people, but a statistical formula that accounted for places not visited during the count produced the 1,780 figure.

The statistical formula used to test for independency is as follows [ 14]: Where = the number of times the expression level of gene = a = the number of times both the expression levels of gene = a and gene = b respectively.

So highly correlated that we could develop a reliable statistical formula between the two tests.

No statistical formula was used to obtain the sample size.

To further reduce the search time, we developed a statistical energy formula for constructing the triplet (N3) feature to represent local MFE concept at the seed region.

For example, suppose gene1 and gene2 each has the space in Table 2 and the statistical test formula for independency is calculated as: Ei = the number i of sample in the experiment The degrees of freedom = (2-1)(2-1) = 1 and thus the data has a chi-square distribution with 1 degree of freedom.