
Constructors  public Normality()  
public Normality(double[] data)  
public Normality(float[] data)  
public Normality(long[] data)  
public Normality(int[] data)  
public Normality(BigDecimal[] data)  
public Normality(BigInteger[] data)  
Read data in from a text file  public void readDataFromTextFile()  
Significance  Reset the significance level  public void resetSignificance(double significance)  
Get the significance level  public double getSignificance()  
Full analysis  public void fullAnalysis()  
ShapiroWilk W Test 
Returns ShapiroWilk W value  public double shapiroWilkWvalue()  
Returns ShapiroWilk critical W value  Default significance level  public double shapiroWilkCriticalW()  
Entered significance level  public double shapiroWilkCriticalW(double significance)  
Entered significance level and number of observations  public double shapiroWilkCriticalW(double significance, int nObservations)  
Reset number of iterations  public void resetNsimulation(int n)  
Get number of iterations  public int getNsimulation()  
Returns ShapiroWilk pvalue  public double shapiroWilkPvalue()  
Returns the ShapiroWilk coefficients  For entered data  public double[] shapiroWilkCoeff()  
For n observations  public double[] shapiroWilkCoeff(int n)  
Normal Probability Plot (Gaussian Probability Plot) See below for the Standard Normal Probability Plot 
Calculate and display plot  public void normalProbabiltyPlot()  
User supplied initial estimates  public void normalUserSuppliedInitialEstimates(double mu, double sigma)  
Remove user supplied initial estimates  public void removeNormalUserSuppliedInitialEstimates()  
Correlation coefficient  public double normalCorrelationCoefficient()  
Gradient  value  public double normalGradient()  
error  public double normalGradientError()  
Intercept  value  public double normalIntercept()  
error  public double normalInterceptError()  
μ  value  public double normalMu()  
error  public double normalMuError()  
σ  value  public double normalSigma()  
error  public double normalSigmaError()  
Sum of squares  public double normalSumOfSquares()  
Order Statistic Medians  public double[] normalOrderStatisticMedians()  
Standard Normal Probability Plot (Gaussian Probability Plot) See above for the Two Parameter Normal Probability Plot 
Calculate and display plot  public void normalStandardProbabiltyPlot()  
Correlation coefficient  public double normalStandardCorrelationCoefficient()  
Gradient  value  public double normalStandardGradient()  
error  public double normalStandardGradientError()  
Intercept  value  public double normalStandardIntercept()  
error  public double normalStandardInterceptError()  
Sum of squares  public double normalStandardSumOfSquares()  
Order Statistic Medians  public double[] normalStandardOrderStatisticMedians()  
Data  Get entered data as doubles  public double[] getData()  
Ordered data  public double[] getOrderedData() 