static void Main(string[] args)
{
Console.WriteLine();
// Constructs a NormalDist instance with mean of ten and variance of five.
NormalDist dist = new NormalDist(10.0, 5.0);
// The PDF() method computes the probability density function
// evaluated at a given value. The probability of
// observing a value of 8.7 is:
Console.WriteLine("PDF: " + dist.PDF(8.7));
// The CDF() method computes the cumulative density function
// evaluated at a given value. Find the probability of
// observing 9.2 or less.
Console.WriteLine("CDF: " + dist.CDF(9.2));
// The first four moments of the normal distribution.
Console.WriteLine("Mean: " + dist.Mean);
Console.WriteLine("Variance: " + dist.Variance);
Console.WriteLine("Skewness: " + dist.Skewness);
Console.WriteLine("Kurtosis: " + dist.Kurtosis);
Console.WriteLine();
Console.WriteLine();
Console.WriteLine("Press Enter Key");
Console.Read();
} // Main
static void Main(string[] args)
{
Console.WriteLine();
// Constructs a NormalDist instance with mean of ten and variance of five.
NormalDist dist = new NormalDist( 10.0, 5.0 );
// The PDF() method computes the probability density function
// evaluated at a given value. The probability of
// observing a value of 8.7 is:
Console.WriteLine( "PDF: " + dist.PDF( 8.7 ));
// The CDF() method computes the cumulative density function
// evaluated at a given value. Find the probability of
// observing 9.2 or less.
Console.WriteLine( "CDF: " + dist.CDF( 9.2 ));
// The first four moments of the normal distribution.
Console.WriteLine( "Mean: " + dist.Mean );
Console.WriteLine( "Variance: " + dist.Variance );
Console.WriteLine( "Skewness: " + dist.Skewness );
Console.WriteLine( "Kurtosis: " + dist.Kurtosis );
Console.WriteLine();
Console.WriteLine();
Console.WriteLine( "Press Enter Key" );
Console.Read();
}
