friedman test Antonyms
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Meaning of friedman test
friedman test (n)
pregnancy test that involves injecting some of the woman's urine into an unmated female rabbit and later examining the ovaries of the rabbit; presence of corpora lutea indicates that the woman is pregnant
friedman test Sentence Examples
- The Friedman test is a non-parametric statistical test used to compare the ranks of multiple related samples.
- It is commonly employed when the data is ordinal in nature and lacks a normal distribution.
- The Friedman test assumes that the observations within each block are independent.
- The test statistic for the Friedman test is calculated by summing the squared ranks of the differences between each pair of samples.
- The Friedman test is well-suited for situations where the sample sizes are small or the data exhibits a non-normal distribution.
- It is often used in psychology to analyze repeated measures data or in medical research to compare the effectiveness of different treatments.
- The Friedman test can be used to detect overall differences among related samples, but it does not identify specific pairs of samples that differ significantly.
- Post-hoc analyses can be performed to determine which specific samples differ significantly from each other.
- The Friedman test is a powerful non-parametric test that is widely used in various research fields.
- Researchers should consider using the Friedman test when they have ordinal data and want to compare multiple related samples.
FAQs About the word friedman test
pregnancy test that involves injecting some of the woman's urine into an unmated female rabbit and later examining the ovaries of the rabbit; presence of corpor
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The Friedman test is a non-parametric statistical test used to compare the ranks of multiple related samples.
It is commonly employed when the data is ordinal in nature and lacks a normal distribution.
The Friedman test assumes that the observations within each block are independent.
The test statistic for the Friedman test is calculated by summing the squared ranks of the differences between each pair of samples.
