| Safe Haskell | None |
|---|---|
| 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