public abstract class HypothesisTest : ISummarizable

Public MustInherit Class HypothesisTest
	Implements ISummarizable

public ref class HypothesisTest abstract : ISummarizable

[<AbstractClassAttribute>]
type HypothesisTest =  
    class
        interface ISummarizable
    end

The HypothesisTest type exposes the following members.

	Name	Description
	HypothesisTest(HypothesisType)	Constructs a new HypothesisTest object.
	HypothesisTest(HypothesisType, Double, ContinuousDistribution)	Constructs a new HypothesisTest object.

	Name	Description
	Distribution	Gets the probability distribution used in the hypothesis test.
	HypothesisType	Gets or sets whether the test is one or two-tailed.
	Name	Gets the name of the hypothesis test.
	PValue	Gets the probability that the test statistic would take on the calculated value under the alternate hypothesis.
	SignificanceLevel	Gets the significance level used to test the null hypothesis.
	Statistic	Gets the value of the test statistic.

	Name	Description
	CalculateStatistic	Evaluates the test statistic.
	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	Returns the confidence interval for the test parameter for the default confidence level.
	GetConfidenceInterval(Double)	Returns the confidence interval for the test parameter for the specified confidence level.
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetLowerCriticalValue	Gets the lower critical value for the hypothesis test's current significance level.
	GetLowerCriticalValue(Double)	Gets the lower critical value for the hypothesis test at the specified significance level.
	GetPValue	Gets the probability that the test statistic would take on the calculated value under the specified alternate hypothesis.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	GetUpperCriticalValue	Gets the upper critical value for the test statistic at the hypothesis test's current significance level.
	GetUpperCriticalValue(Double)	Gets the upper critical value for the test statistic at the specified significance level.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Reject	Returns whether the null hypothesis is rejected using the default significance level.
	Reject(Double)	Returns whether the null hypothesis is rejected using the specified significance level.
	Summarize	Returns a string containing a human-readable summary of the object.
	Summarize(SummaryOptions)	Returns a string containing a human-readable summary of the object using the specified options.
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Overrides ObjectToString.)

	Name	Description
	DefaultSignificanceLevel	Specifies the default significance level of 0.05.

The HypothesisTest class serves as the base class for all classes that implement statistical tests.

Most statistical tests follow a common pattern. A hypothesis is proposed, a Statistic is calculated based on the hypothesis. This statistic follows a distribution, which is used to calculated the probability, or PValue, that the hypothesis is false. If the probability is below a certain cut-off value, the SignificanceLevel, then the hypothesis is rejected.

Note to inheritors: If you need to implement a statistical test, then most likely you should derive the class from one of the specialized classes for tests involving one (OneSampleTest), two (TwoSampleTestT), or more (MultiSampleTestT) samples. Only in very rare instances will you need to inherit from HypothesisTest directly.

If you do, you must override CalculateStatistic. You must also set the Distribution property either in the constructor or in your CalculateStatistic implementation.

Numerical Libraries

Reference