Power analysis for one-sample Z-Tests.
Inheritance Hierarchy Namespace: Accord.Statistics.Testing.PowerAccord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax[SerializableAttribute] public class ZTestPowerAnalysis : BaseOneSamplePowerAnalysis
<SerializableAttribute> Public Class ZTestPowerAnalysis Inherits BaseOneSamplePowerAnalysisRequest Example View Source
The ZTestPowerAnalysis type exposes the following members.
Constructors Properties Methods Extension Methods Name Description HasMethodChecks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) IsEqualCompares 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.) Top Examples// When creating a power analysis, we have three things we can // change. We can always freely configure two of those things // and then ask the analysis to give us the third. var analysis = new ZTestPowerAnalysis(OneSampleHypothesis.ValueIsDifferentFromHypothesis); // Those are: double e = analysis.Effect; // the test's minimum detectable effect size double n = analysis.Samples; // the number of samples in the test double p = analysis.Power; // the probability of committing a type-2 error // Let's set the desired effect size and the // number of samples so we can get the power analysis.Effect = 0.2; // we would like to detect at least 0.2 std. dev. apart analysis.Samples = 60; // we would like to use at most 60 samples analysis.ComputePower(); // what will be the power of this test? double power = analysis.Power; // The power is going to be 0.34 (or 34%) // Let's set the desired power and the number // of samples so we can get the effect size analysis.Power = 0.8; // we would like to create a test with 80% power analysis.Samples = 60; // we would like to use at most 60 samples analysis.ComputeEffect(); // what would be the minimum effect size we can detect? double effect = analysis.Effect; // The effect will be 0.36 standard deviations. // Let's set the desired power and the effect // size so we can get the number of samples analysis.Power = 0.8; // we would like to create a test with 80% power analysis.Effect = 0.2; // we would like to detect at least 0.2 std. dev. apart analysis.ComputeSamples(); double samples = analysis.Samples; // We would need around 197 samples.
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