Search results
29 packages found
Create random data from a Yup schema.
Simple to use, completely useful
- statistical-js
- stats
- statistics
- stat
- test
- hypothesis
- Math
- Mathemtics
- descriptive
- linear
- math
- probability
- machine learning
- perceptron
Idealvalues is a tool you can use for hypothesis testing. Use Idealvalues to find a sum value within an array of numbers.
Perform the Student's t hypothesis test
Two-sample Student's t-Test.
One-sample Kolmogorov-Smirnov goodness-of-fit test.
Exact test for the success probability in a Bernoulli experiment.
Chi-Squared hypothesis tests to test distribution fitness for dataset and independence among datasets
Perform a one-way analysis of variance.
Compute a Pearson product-moment correlation test between paired samples.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- summary
- test
- hypothesis
- association
- linear
- correlation
- paired
- normal
- View more
Wilcoxon signed rank test.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- summary
- nonparametric
- signed
- paired
- difference
- median
- symmetric
- distribution
- View more
Perform a chi-square independence test.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- summary
- test
- hypothesis
- independence
- contingency
- table
- 2d
- discrete
Two-sample F-test for equal variances
Compute the Kruskal-Wallis test for equal medians.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- summary
- test
- hypothesis
- equality
- median
- nonparametric
- non-parametric
One-sample and paired Student's t-Test.
Grubbs' test for outliers.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- grubbs
- esd
- extreme
- studentized
- deviate
- maximum
- normalized
- residual
- View more
Moving Grubbs' test for outliers.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- grubbs
- esd
- extreme
- studentized
- deviate
- maximum
- normalized
- residual
- View more
Perform a chi-square goodness-of-fit test.
Two-sample z-Test.
Bartlett’s test for equal variances.