Meta.Numerics Library
TestResult Class
Meta.NumericsMeta.Numerics.StatisticsTestResult
Represents the result of a statistical test.
Declaration Syntax
C#Visual BasicVisual C++F#
public class TestResult
Public Class TestResult
public ref class TestResult
type TestResult =  class end
Members
All MembersMethodsProperties



IconMemberDescription
Distribution
Gets the distribution of the test statistic under the null hypothesis.
Equals(Object)
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Finalize()()()()
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.)
GetHashCode()()()()
Serves as a hash function for a particular type.
(Inherited from Object.)
GetType()()()()
Gets the Type of the current instance.
(Inherited from Object.)
LeftProbability
Get the probability, under the null hypothesis, of obtaining a test statistic value as small or smaller than the one actually obtained.
MemberwiseClone()()()()
Creates a shallow copy of the current Object.
(Inherited from Object.)
RightProbability
Get the probability, under the null hypothesis, of obtaining a test statistic value as large as or larger than the one actually obtained.
Statistic
Gets the value of the test statistic.
ToString()()()()
Returns a String that represents the current Object.
(Inherited from Object.)
Remarks

A statistical test compares a data set to a model (or to another data set) and computes a single, real number, called the test statistic, which measures how much the data set differs from model (or the other data set). The key to a useful statistical test is that the distribution of the test statistic, under the assumption that the model actually explains the data (or that the other data set is drawn from the same distribution) is known. This assumption is called the null hypothesis.

Inheritance Hierarchy
Object
TestResult