PairedTTest Class |
Namespace: Accord.Statistics.Testing
The PairedTTest type exposes the following members.
Name | Description | |
---|---|---|
PairedTTest |
Creates a new paired t-test.
|
Name | Description | |
---|---|---|
Confidence |
Gets the 95% confidence interval for the
ObservedDifference statistic.
| |
CriticalValue |
Gets the critical value for the current significance level.
(Inherited from HypothesisTestTDistribution.) | |
Hypothesis |
Gets the alternative hypothesis under test. If the test is
Significant, the null hypothesis can be rejected
in favor of this alternative hypothesis.
| |
Mean1 |
Gets the first sample's mean.
| |
Mean2 |
Gets the second sample's mean.
| |
ObservedDifference |
Gets the observed mean difference between the two samples.
| |
PValue |
Gets the P-value associated with this test.
(Inherited from HypothesisTestTDistribution.) | |
SampleSize |
Gets the size of a sample.
Both samples have equal size.
| |
Significant |
Gets whether the null hypothesis should be rejected.
(Inherited from HypothesisTestTDistribution.) | |
Size |
Gets the significance level for the
test. Default value is 0.05 (5%).
(Inherited from HypothesisTestTDistribution.) | |
StandardError |
Gets the standard error of the difference.
| |
Statistic |
Gets the test statistic.
(Inherited from HypothesisTestTDistribution.) | |
StatisticDistribution |
Gets the distribution associated
with the test statistic.
(Inherited from HypothesisTestTDistribution.) | |
Tail |
Gets the test type.
(Inherited from HypothesisTestTDistribution.) |
Name | Description | |
---|---|---|
Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |
GetConfidenceInterval |
Gets a confidence interval for the ObservedDifference
statistic within the given confidence level percentage.
| |
GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
OnSizeChanged | Update event. (Overrides HypothesisTestTDistributionOnSizeChanged.) | |
PValueToStatistic |
Converts a given p-value to a test statistic.
(Overrides HypothesisTestTDistributionPValueToStatistic(Double).) | |
StatisticToPValue |
Converts a given test statistic to a p-value.
(Overrides HypothesisTestTDistributionStatisticToPValue(Double).) | |
ToString |
Converts the numeric P-Value of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.) | |
ToString(String, IFormatProvider) |
Converts the numeric P-Value of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.) |
Name | Description | |
---|---|---|
HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |
IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |
To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |
ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
The Paired T-test can be used when the samples are dependent; that is, when there is only one sample that has been tested twice (repeated measures) or when there are two samples that have been matched or "paired". This is an example of a paired difference test.
References:
Suppose we would like to know the effect of a treatment (such as a new drug) in improving the well-being of 9 patients. The well-being is measured in a discrete scale, going from 0 to 10.
// To do so, we need to register the initial state of each patient // and then register their state after a given time under treatment. double[,] patients = { // before after // treatment treatment /* Patient 1.*/ { 0, 1 }, /* Patient 2.*/ { 6, 5 }, /* Patient 3.*/ { 4, 9 }, /* Patient 4.*/ { 8, 6 }, /* Patient 5.*/ { 1, 6 }, /* Patient 6.*/ { 6, 7 }, /* Patient 7.*/ { 3, 4 }, /* Patient 8.*/ { 8, 7 }, /* Patient 9.*/ { 6, 5 }, }; // Extract the before and after columns double[] before = patients.GetColumn(0); double[] after = patients.GetColumn(1); // Create the paired-sample T-test. Our research hypothesis is // that the treatment does improve the patient's well-being. So // we will be testing the hypothesis that the well-being of the // "before" sample, the first sample, is "smaller" in comparison // to the "after" treatment group. PairedTTest test = new PairedTTest(before, after, TwoSampleHypothesis.FirstValueIsSmallerThanSecond); bool significant = test.Significant; // not significant double pvalue = test.PValue; // p-value = 0.1650 double tstat = test.Statistic; // t-stat = -1.0371