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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    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 ...

  3. Probability distribution - Wikipedia

    en.wikipedia.org/wiki/Probability_distribution

    t. e. In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment. [1][2] It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events (subsets of the sample space). [3]

  4. Central limit theorem - Wikipedia

    en.wikipedia.org/wiki/Central_limit_theorem

    The input into the normalized Gaussian function is the mean of sample means (~50) and the mean sample standard deviation divided by the square root of the sample size (~28.87/ √ n), which is called the standard deviation of the mean (since it refers to the spread of sample means).

  5. Randomization - Wikipedia

    en.wikipedia.org/wiki/Randomization

    Randomization in statistical analysis. Randomization is a core principle in statistical theory, whose importance was emphasized by Charles S. Peirce in "Illustrations of the Logic of Science" (1877–1878) and "A Theory of Probable Inference" (1883). Its application in statistical methodologies is multifaceted and includes critical processes ...

  6. Law of large numbers - Wikipedia

    en.wikipedia.org/wiki/Law_of_large_numbers

    In probability theory, the law of large numbers (LLN) is a mathematical law that states that the average of the results obtained from a large number of independent random samples converges to the true value, if it exists. [1] More formally, the LLN states that given a sample of independent and identically distributed values, the sample mean ...

  7. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    Introduction. In survey methodology, the design effect (generally denoted as , , or ) is a measure of the expected impact of a sampling design on the variance of an estimator for some parameter of a population. It is calculated as the ratio of the variance of an estimator based on a sample from an (often) complex sampling design, to the ...

  8. Binomial test - Wikipedia

    en.wikipedia.org/wiki/Binomial_test

    Usage. The binomial test is useful to test hypotheses about the probability ( ) of success: where is a user-defined value between 0 and 1. If in a sample of size there are successes, while we expect , the formula of the binomial distribution gives the probability of finding this value: If the null hypothesis were correct, then the expected ...

  9. Science fair - Wikipedia

    en.wikipedia.org/wiki/Science_fair

    Science fair. A science fair or engineering fair is an event hosted by a school that offers students the opportunity to experience the practices of science and engineering for themselves. In the United States, the Next Generation Science Standards makes experiencing the practices of science and engineering one of the three pillars of science ...