TTestPowerAnalysis Class

[SerializableAttribute]
public class TTestPowerAnalysis : BaseOneSamplePowerAnalysis

<SerializableAttribute>
Public Class TTestPowerAnalysis
	Inherits BaseOneSamplePowerAnalysis

// 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 TTestPowerAnalysis(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 0.33 (or 33%)

// 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 199 samples.