| Safe Haskell | Safe-Inferred |
|---|---|
| Language | Haskell2010 |
Statistics.Test.StudentT
Description
Student's T-test is for assessing whether two samples have different mean. This module contain several variations of T-test. It's a parametric tests and assumes that samples are normally distributed.
Synopsis
- studentTTest :: Vector v Double => PositionTest -> v Double -> v Double -> Maybe (Test StudentT)
- welchTTest :: Vector v Double => PositionTest -> v Double -> v Double -> Maybe (Test StudentT)
- pairedTTest :: forall v. (Vector v (Double, Double), Vector v Double) => PositionTest -> v (Double, Double) -> Maybe (Test StudentT)
- module Statistics.Test.Types
Documentation
Arguments
| :: Vector v Double | |
| => PositionTest | one- or two-tailed test |
| -> v Double | Sample A |
| -> v Double | Sample B |
| -> Maybe (Test StudentT) |
Two-sample Student's t-test. It assumes that both samples are
normally distributed and have same variance. Returns Nothing if
sample sizes are not sufficient.
Arguments
| :: Vector v Double | |
| => PositionTest | one- or two-tailed test |
| -> v Double | Sample A |
| -> v Double | Sample B |
| -> Maybe (Test StudentT) |
Two-sample Welch's t-test. It assumes that both samples are
normally distributed but doesn't assume that they have same
variance. Returns Nothing if sample sizes are not sufficient.
Arguments
| :: forall v. (Vector v (Double, Double), Vector v Double) | |
| => PositionTest | one- or two-tailed test |
| -> v (Double, Double) | paired samples |
| -> Maybe (Test StudentT) |
Paired two-sample t-test. Two samples are paired in a
within-subject design. Returns Nothing if sample size is not
sufficient.
module Statistics.Test.Types