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Generalized p-value and P-value

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Generalized p-value and P-value

Generalized p-value vs. P-value

In statistics, a generalized p-value is an extended version of the classical ''p''-value, which except in a limited number of applications, provides only approximate solutions. In statistical hypothesis testing, the p-value or probability value or asymptotic significance is the probability for a given statistical model that, when the null hypothesis is true, the statistical summary (such as the sample mean difference between two compared groups) would be the same as or of greater magnitude than the actual observed results.

Similarities between Generalized p-value and P-value

Generalized p-value and P-value have 2 things in common (in Unionpedia): P-value, Statistical significance.

P-value

In statistical hypothesis testing, the p-value or probability value or asymptotic significance is the probability for a given statistical model that, when the null hypothesis is true, the statistical summary (such as the sample mean difference between two compared groups) would be the same as or of greater magnitude than the actual observed results.

Generalized p-value and P-value · P-value and P-value · See more »

Statistical significance

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

Generalized p-value and Statistical significance · P-value and Statistical significance · See more »

The list above answers the following questions

Generalized p-value and P-value Comparison

Generalized p-value has 11 relations, while P-value has 79. As they have in common 2, the Jaccard index is 2.22% = 2 / (11 + 79).

References

This article shows the relationship between Generalized p-value and P-value. To access each article from which the information was extracted, please visit:

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