org.statcato.statistics.inferential
Class HypothesisTest1MeanSigmaKnown
- java.lang.Object
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- org.statcato.statistics.inferential.HypothesisTest1MeanSigmaKnown
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public class HypothesisTest1MeanSigmaKnown extends java.lang.ObjectA hypothesis test for 1 population mean, population standard deviation known.- Since:
- 1.0
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Constructor Summary
Constructors Constructor and Description HypothesisTest1MeanSigmaKnown(int n, double mu, double sigma, double confidenceLevel, int testType)Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description java.lang.StringcriticalValue()Returns the critical value corresponding to the given confidence level and type of test.doublepValue(double xBar)Returns the p-value corresponding to xBar in a z distribution.doubletestStatistics(double xBar)Returns the test statistics for the given sample mean xBar.
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Constructor Detail
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HypothesisTest1MeanSigmaKnown
public HypothesisTest1MeanSigmaKnown(int n, double mu, double sigma, double confidenceLevel, int testType)Constructor.- Parameters:
n- sample sizemu- hypothesized meansigma- population standard deviationconfidenceLevel- confidence leveltestType- (as defined inHypothesisTest)
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Method Detail
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testStatistics
public double testStatistics(double xBar)
Returns the test statistics for the given sample mean xBar.z = (xBar - mu) / (sigma / sqrt(n))
- Parameters:
xBar- sample mean- Returns:
- test statistic z score
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criticalValue
public java.lang.String criticalValue()
Returns the critical value corresponding to the given confidence level and type of test. Uses the z distribution.- Returns:
- critical value
- See Also:
HypothesisTest
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pValue
public double pValue(double xBar)
Returns the p-value corresponding to xBar in a z distribution.- Parameters:
xBar- x bar value- Returns:
- p-value corresponding to xBar
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