15 relations: Alternative hypothesis, Chi-squared distribution, Mean, Noncentral beta distribution, Noncentral chi distribution, Noncentral chi-squared distribution, Noncentral F-distribution, Noncentral hypergeometric distributions, Noncentral t-distribution, Normal distribution, Null hypothesis, Power (statistics), Probability distribution, Student's t-distribution, Variance.
Alternative hypothesis
In statistical hypothesis testing, the alternative hypothesis (or maintained hypothesis or research hypothesis) and the null hypothesis are the two rival hypotheses which are compared by a statistical hypothesis test.
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Chi-squared distribution
No description.
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Mean
In mathematics, mean has several different definitions depending on the context.
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Noncentral beta distribution
In probability theory and statistics, the noncentral beta distribution is a continuous probability distribution that is a generalization of the (central) beta distribution.
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Noncentral chi distribution
No description.
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Noncentral chi-squared distribution
No description.
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Noncentral F-distribution
In probability theory and statistics, the noncentral F-distribution is a continuous probability distribution that is a generalization of the (ordinary) ''F''-distribution.
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Noncentral hypergeometric distributions
In statistics, the hypergeometric distribution is the discrete probability distribution generated by picking colored balls at random from an urn without replacement.
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Noncentral t-distribution
As with other probability distributions with noncentrality parameters, the noncentral t-distribution generalizes a probability distribution – Student's ''t''-distribution – using a noncentrality parameter.
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Normal distribution
In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.
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Null hypothesis
In inferential statistics, the term "null hypothesis" is a general statement or default position that there is no relationship between two measured phenomena, or no association among groups.
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Power (statistics)
The power of a binary hypothesis test is the probability that the test correctly rejects the null hypothesis (H0) when a specific alternative hypothesis (H1) is true.
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Probability distribution
In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.
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Student's t-distribution
In probability and statistics, Student's t-distribution (or simply the t-distribution) is any member of a family of continuous probability distributions that arises when estimating the mean of a normally distributed population in situations where the sample size is small and population standard deviation is unknown.
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Variance
In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean.
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