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Index Pseudoreplication

Pseudoreplication is the process of artificially inflating the number of samples or replicates. [1]

7 relations: Analysis of variance, Confounding, Replication (statistics), Statistical hypothesis testing, Statistical significance, Statistical unit, Student's t-test.

Analysis of variance

Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among group means in a sample.

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In statistics, a confounder (also confounding variable, confounding factor or lurking variable) is a variable that influences both the dependent variable and independent variable causing a spurious association.

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Replication (statistics)

In engineering, science, and statistics, replication is the repetition of an experimental condition so that the variability associated with the phenomenon can be estimated.

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Statistical hypothesis testing

A statistical hypothesis, sometimes called confirmatory data analysis, is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables.

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Statistical significance

In statistical hypothesis testing, a result has statistical significance when it is very unlikely to have occurred given the null hypothesis.

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Statistical unit

A unit in a statistical analysis is one member of a set of entities being studied.

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Student's t-test

The t-test is any statistical hypothesis test in which the test statistic follows a Student's ''t''-distribution under the null hypothesis.

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Redirects here:

N = 1 fallacy, N=1 fallacy.


[1] https://en.wikipedia.org/wiki/Pseudoreplication

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