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results obtained from experimental samples against control samples, which are practically identical to the experimental sample except for the one aspect whose...

population and statisticians attempt to collect samples that are representative of the population. Sampling has lower costs and faster data collection compared...

Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample...

replicated, then it replicated in most samples. If a finding was not replicated, then it failed to replicate with little variation across samples and contexts...

experimental design because they provide an estimate of between sample error. Without replicates, scientists are unable to assess whether observed treatment...

on sound statistical sampling. These are processed in a batch and tested twice each. This includes replication of initial samples but does not allow for...

sampling verifies we have enough samples from the strata of interest. If the population density varies greatly within a region, stratified sampling will...

samples t-tests, as they are typically applied when the statistical units underlying the two samples being compared are non-overlapping. Two-sample t-tests...

suited to the specific purpose. Comparative testing subjects several replicate samples of similar products to identical test conditions. Product testing...

random samples can be taken one at a time, remembering which samples were taken so far. In two dimensions the difference between random sampling, Latin...

bootstrap have been proposed, including methods that sample without replacement or that create bootstrap samples larger or smaller than the original data. The...

cluster sampling, a simple case of multistage sampling, is obtained by selecting cluster samples in the first stage and then selecting a sample of elements...

the uncertainty associated with measuring replicate samples. Hierarchical Naive Bayes Model for handling sample uncertainty Archived 2007-09-28 at the Wayback...

by drawing an infinite number of repeated samples from the population and computing a mean for each sample. The mean's standard error turns out to equal...

from a random sample of size n {\displaystyle n} . It may be considered as the distribution of the statistic for all possible samples from the same population...

number of samples increases) but can be improved. Most simply, the sample variance is computed as the sum of squared deviations about the (sample) mean,...

statistics, multistage sampling is the taking of samples in stages using smaller and smaller sampling units at each stage. Multistage sampling can be a complex...

different from Gaussian, and vary depending on the size of the sample. Small samples are somewhat more likely to underestimate the population standard...

statistical test used to compare the variances of two samples or the ratio of variances between multiple samples. The test statistic, random variable F, is used...

complex samples". Journal of the Royal Statistical Society, Series B. 36 (1): 1–37. Krewski, D.; Rao, J.N.K. (1981). "Inference from stratified samples: properties...