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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 .
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 ...
Effective number of codons (abbreviated as ENC or Nc) is a measure to study the state of codon usage biases in genes and genomes. [1] The way that ENC is computed has obvious similarities to the computation of effective population size in population genetics . [ 2 ]
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:
Huff et al. (2010) rejected all models with an ancient effective population size larger than 26,000. [9] For ca. 130,000 years ago, Sjödin et al. (2012) estimate an effective population size of the order of 10,000 to 30,000 individuals, and infer an actual "census population" of early Homo sapiens of roughly 100,000 to 300,000 individuals. [ 10 ]
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 ...
For comparing significance tests, a meaningful measure of efficiency can be defined based on the sample size required for the test to achieve a given task power. [ 14 ] Pitman efficiency [ 15 ] and Bahadur efficiency (or Hodges–Lehmann efficiency ) [ 16 ] [ 17 ] [ 18 ] relate to the comparison of the performance of statistical hypothesis ...
The effective population size (Ne), or the reproducing part of a population is often lower than the actual population size in small populations. [4] The Ne of a population is closest in size to the generation that had the smallest Ne. This is because alleles lost in generations of low populations are not regained when the population size increases.