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For correlated random variables the sample variance needs to be computed according to the Markov chain central limit theorem.. Independent and identically distributed random variables with random sample size
Binomial proportion confidence interval. In statistics, a binomial proportion confidence interval is a confidence interval for the probability of success calculated from the outcome of a series of success–failure experiments ( Bernoulli trials ). In other words, a binomial proportion confidence interval is an interval estimate of a success ...
This is a source of genetic drift, as certain alleles become more or less common), and has been referred to as "sampling error", despite not being an "error" in the statistical sense. See also. Margin of error; Propagation of uncertainty; Ratio estimator; Sampling (statistics) References
Accuracy is how close a given set of measurements ( observations or readings) are to their true value . Precision is how close the measurements are to each other. In other words: Precision is a description of random errors (a measure of statistical variability ). Accuracy has two definitions, per ISO: [1]
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Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined ...
Science and experiments. When either randomness or uncertainty modeled by probability theory is attributed to such errors, they are "errors" in the sense in which that term is used in statistics; see errors and residuals in statistics.