Hypothesis Tests
HypothesisTests.jl is a Julia package that implements statistical hypothesis tests.
About Hypothesis Tests
HypothesisTests.jl is an open source Julia package for statistical hypothesis testing, hosted on GitHub. The README describes it as implementing a wide range of hypothesis tests and gives short examples of calling each test and extracting its results, such as p-values and confidence intervals.
The source shows examples for one-sample and two-sample t-tests, the Mann-Whitney U test, and the signed rank test. The README links to separate documentation for further detail. The source does not give a full list of available tests or describe limits on data size or input types.
Key features
- One-sample t-test with two-sided, left-tailed, or right-tailed p-values
- Confidence intervals for one-sample t-tests, including one-sided variants
- Two-sample t-tests assuming equal or unequal variances
- Mann-Whitney U test for comparing two samples
- Signed rank test for one sample or two paired samples
- Access to the t statistic and degrees of freedom from one-sample t-test objects
Best for: Julia users who need standard hypothesis tests within their data analysis code.
Good for
- Released under the MIT license
- README includes short usage examples for each listed test
Hypothesis Tests at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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Hypothesis Tests FAQ
How do I get a one-sided p-value?
The README shows the tail option. For example, pvalue(OneSampleTTest(x), tail=:left) returns a left-tailed p-value and tail=:right returns a right-tailed one.
Can the package produce confidence intervals?
Yes. The README shows confint(OneSampleTTest(x)) for a two-sided interval, with tail options for one-sided intervals.
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