OneSampleZTest Class

public sealed class OneSampleZTest : OneSampleTest

Public NotInheritable Class OneSampleZTest
	Inherits OneSampleTest

public ref class OneSampleZTest sealed : public OneSampleTest

[<SealedAttribute>]
type OneSampleZTest =  
    class
        inherit OneSampleTest
    end

The OneSampleZTest type exposes the following members.

	Name	Description
	OneSampleZTest	Constructs a new OneSampleZTest.
	OneSampleZTest(VectorDouble, Double, Double)	Constructs a new OneSampleZTest for the specified VectorT with known standard deviation.
	OneSampleZTest(Double, Int32, Double, Double)	Constructs a new OneSampleZTest for the specified VectorT with known standard deviation.
	OneSampleZTest(VectorDouble, Double, Double, HypothesisType)	Constructs a new OneSampleZTest for the specified VectorT with known standard deviation.
	OneSampleZTest(Double, Int32, Double, Double, HypothesisType)	Constructs a new OneSampleZTest for the specified VectorT with known standard deviation.

	Name	Description
	Distribution	Gets the probability distribution used in the hypothesis test. (Inherited from HypothesisTest.)
	HypothesisType	Gets or sets whether the test is one or two-tailed. (Inherited from HypothesisTest.)
	Name	Gets the name of the hypothesis test. (Overrides HypothesisTestName.)
	PopulationMean	Gets or sets the mean of the population from which the sample was drawn.
	PopulationStandardDeviation	Gets or sets the standard deviation of the population from which the sample was drawn.
	PValue	Gets the probability that the test statistic would take on the calculated value under the alternate hypothesis. (Inherited from HypothesisTest.)
	Sample	Gets or sets the variable the test is to be applied to. (Inherited from OneSampleTestT.)
	SampleMean	Gets or sets the mean of the sample.
	SampleSize	Gets or sets the size of the sample.
	SignificanceLevel	Gets the significance level used to test the null hypothesis. (Inherited from HypothesisTest.)
	Statistic	Gets the value of the test statistic. (Inherited from HypothesisTest.)

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	GetConfidenceInterval	Returns the confidence interval for the test parameter for the default confidence level. (Inherited from HypothesisTest.)
	GetConfidenceInterval(Double)	Returns the confidence interval for the mean corresponding to the specified confidence level. (Overrides HypothesisTestGetConfidenceInterval(Double).)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetLowerCriticalValue	Gets the lower critical value for the hypothesis test's current significance level. (Inherited from HypothesisTest.)
	GetLowerCriticalValue(Double)	Gets the lower critical value for the hypothesis test at the specified significance level. (Inherited from HypothesisTest.)
	GetPValue	Gets the probability that the test statistic would take on the calculated value under the specified alternate hypothesis. (Inherited from HypothesisTest.)
	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. (Inherited from HypothesisTest.)
	GetUpperCriticalValue(Double)	Gets the upper critical value for the test statistic at the specified significance level. (Inherited from HypothesisTest.)
	Reject	Returns whether the null hypothesis is rejected using the default significance level. (Inherited from HypothesisTest.)
	Reject(Double)	Returns whether the null hypothesis is rejected using the specified significance level. (Inherited from HypothesisTest.)
	Summarize	Returns a string containing a human-readable summary of the object. (Inherited from HypothesisTest.)
	Summarize(SummaryOptions)	Returns a string containing a human-readable summary of the object using the specified options. (Inherited from OneSampleTestT.)
	ToString	Returns a string that represents the current object. (Inherited from HypothesisTest.)

Use the OneSampleZTest class to test the hypothesis that a sample comes from a normal population with specified population mean and variance.

The sample data can be supplied either as a VectorT, or by specifying the SampleMean and the SampleSize.

A confidence interval for the variance of the sample can be obtained using the GetConfidenceInterval(Double) method.

When the population variance is not known, a OneSampleTTest can be used. To compare two sample means, use a TwoSampleTTest.

Reference