Safe Haskell | None |
---|---|
Language | Haskell98 |
Student's T-test is for assesing 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.
- 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
:: 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.
:: 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.
:: (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