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The effective population size (N e) is the size of an idealised population that would experience the same rate of genetic drift as the real population. [1] Idealised populations are those following simple one- locus models that comply with assumptions of the neutral theory of molecular evolution .
[[Category:Population data templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Population data templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
It is a measure of the "population mutation rate" (the product of the effective population size and the neutral mutation rate) from the observed nucleotide diversity of a population. θ = 4 N e μ {\displaystyle \theta =4N_{e}\mu } , [ 3 ] where N e {\displaystyle N_{e}} is the effective population size and μ {\displaystyle \mu } is the per ...
Toggle Population Growth Rate subsection. 1.1 Usage. 1.1.1 Examples. 1.2 See also. Toggle the table of contents. Template: Population growth rate/doc. Add languages ...
where u is the mutation rate, and N e is the effective population size. The effective number of alleles n maintained in a population is defined as the inverse of the homozygosity, that is = = + which is a lower bound for the actual number of alleles in the population. If the effective population is large, then a large number of alleles can be ...
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:
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For example, let the design effect, for estimating the population mean based on some sampling design, be 2. If the sample size is 1,000, then the effective sample size will be 500. It means that the variance of the weighted mean based on 1,000 samples will be the same as that of a simple mean based on 500 samples obtained using a simple random ...