OneSampleZTest Class 
Namespace: CenterSpace.NMath.Core
The OneSampleZTest type exposes the following members.
Name  Description  

OneSampleZTest 
Default constructor. Constructs a OneSampleZTest instance with default
sample, population, and hypothesis parameters.
 
OneSampleZTest(Double, Double, Double) 
Constructs a OneSampleZTest instance using the given array of sample data, and
the given population parameters.
 
OneSampleZTest(Int32, Double, Double) 
Constructs a OneSampleZTest instance using the given array of sample data, and
the given population parameters.
 
OneSampleZTest(DoubleVector, Double, Double) 
Constructs a OneSampleZTest instance using the given vector of sample data, and
the given population parameters.
 
OneSampleZTest(IDFColumn, Double, Double) 
Constructs a OneSampleZTest instance using the given column of sample data, and
the given population parameters.
 
OneSampleZTest(Double, Int32, Double, Double) 
Constructs a OneSampleZTest instance with the given sample and population parameters.
 
OneSampleZTest(Double, Double, Double, Double, HypothesisType) 
Constructs a OneSampleZTest instance using the given array of sample data, and
the given population and hypothesis parameters.
 
OneSampleZTest(Int32, Double, Double, Double, HypothesisType) 
Constructs a OneSampleZTest instance using the given array of sample data, and
the given population and hypothesis parameters.
 
OneSampleZTest(DoubleVector, Double, Double, Double, HypothesisType) 
Constructs a OneSampleZTest instance using the given vector of sample data, and
the given population and hypothesis parameters.
 
OneSampleZTest(IDFColumn, Double, Double, Double, HypothesisType) 
Constructs a OneSampleZTest instance using the given column of sample data, and
the given population and hypothesis parameters.
 
OneSampleZTest(Double, Int32, Double, Double, Double, HypothesisType) 
Constructs a OneSampleZTest instance with the given sample, population,
and hypothesis parameters.

Name  Description  

Alpha 
Gets and sets the alpha level associated with this hypothesis test.
 
DefaultAlpha 
Gets and sets the default alpha level associated with OneSampleZTests.
 
DefaultType 
Gets and sets the default form of the alternative hypothesis associated with
OneSampleZTests.
 
Distribution 
Gets the distribution of the test statistic associated with this
hypothesis test.
 
LeftCriticalValue 
Gets the onesided to the left critical value based on the current probability
distribution and alpha level associated with this hypothesis test.
 
LeftProbability 
Gets the area under the probability distribution to the left of the
test statistic.
 
LowerConfidenceLimit 
Gets the 1  alpha lower confidence limit for the true mean.
 
Mu0 
Gets the population mean.
 
N 
Gets the sample size.
 
P 
Gets the pvalue associated with the test statistic.
 
Reject 
Tests whether the null hypothesis can be rejected, using the current
hypothesis type and alpha level.
 
RightCriticalValue 
Gets the onesided to the right critical value based on the current probability
distribution and alpha level associated with this hypothesis test.
 
RightProbability 
Gets the area under the probability distribution to the right of the
test statistic.
 
SEM 
Gets the standard error of the mean.
 
Sigma 
Gets the population standard deviation.
 
Statistic 
Gets the value of the test statistic associated with this hypothesis
test.
 
Type 
Gets and sets the form of the alternative hypothesis associated with this
hypothesis test.
 
UpperConfidenceLimit 
Gets the 1  alpha upper confidence limit for the true mean.
 
Xbar 
Gets the sample mean.

Name  Description  

Clone 
Creates a deep copy of this OneSampleZTest.
 
OnDeserialized 
Compute values following deserialization
 
ToString 
Returns a formatted string representation of the test results.
(Overrides ObjectToString.)  
Update(Double) 
Updates the test statistic with new sample data.
 
Update(Int32) 
Updates the test statistic with new sample data.
 
Update(DoubleVector) 
Updates the test statistic with new sample data.
 
Update(IDFColumn) 
Updates the test statistic with new sample data.
 
Update(Double, Double) 
Updates the test statistic with new population parameters.
 
Update(Double, Int32) 
Updates the test statistic with new sample parameters.
 
Update(Double, Double, Double) 
Updates the test statistic with new sample data and population
parameters.
 
Update(Int32, Double, Double) 
Updates the test statistic with new sample data and population
parameters.
 
Update(DoubleVector, Double, Double) 
Updates the test statistic with new sample data and population
parameters.
 
Update(IDFColumn, Double, Double) 
Updates the test statistic with new sample data and population
parameters.
 
Update(Double, Int32, Double, Double) 
Updates the test statistic with new sample and population parameters.
