StatisticFormula Class
Definition
Calculates statistical formulas.
public ref class StatisticFormula
public class StatisticFormula
type StatisticFormula = class
Public Class StatisticFormula
 Inheritance

StatisticFormula
Remarks
Formulas can be loosely grouped into the following categories: distributions, including inverse distributions; tests; and basic statistical formulas. Each group has common characteristics with respect to their input and return values.
Methods
Anova(Double, String) 
The Anova formula determines the existence or absence of a statistically significant difference between the mean values of two or more groups of data. 
BetaFunction(Double, Double) 
The beta function calculates the beta function value. 
Correlation(String, String) 
The correlation formula shows the strength of the relationship that exists between two random variables. 
Covariance(String, String) 
The covariance formula measures the degree of dependence that may exist between two random variables. 
Equals(Object) 
Determines whether the specified object is equal to the current object. (Inherited from Object) 
FDistribution(Double, Int32, Int32) 
The F distribution formula calculates the probability for the Fdistribution. 
FTest(Double, String, String) 
The Ftest formula performs a twosample Ftest using F distribution, and is used to see if the samples have different variances. 
GammaFunction(Double) 
The gamma function calculates the gamma value. 
GetHashCode() 
Serves as the default hash function. (Inherited from Object) 
GetType() 
Gets the Type of the current instance. (Inherited from Object) 
InverseFDistribution(Double, Int32, Int32) 
The inverse F distribution formula calculates the inverse of the F cumulative distribution. 
InverseNormalDistribution(Double) 
The inverse normal distribution formula calculates the inverse of the standard normal cumulative distribution. The distribution has a mean of 0 and a standard deviation of one. 
InverseTDistribution(Double, Int32) 
The inverse tdistribution formula calculates the tvalue of the Student's tdistribution as a function of probability and degrees of freedom. 
Mean(String) 
The mean formula calculates the average, or mean, of data stored in a data series. 
Median(String) 
The median formula calculates the median of the data stored in a data series. 
MemberwiseClone() 
Creates a shallow copy of the current Object. (Inherited from Object) 
NormalDistribution(Double) 
The normal distribution formula calculates the value of the standard normal cumulative distribution. The distribution has a mean of 0 and a standard deviation of 1. 
TDistribution(Double, Int32, Boolean) 
The tdistribution formula calculates the probability for the Student's tdistribution. 
ToString() 
Returns a string that represents the current object. (Inherited from Object) 
TTestEqualVariances(Double, Double, String, String) 
The ttest with equal variances formula performs a ttest using Student's tdistribution with equal variances. 
TTestPaired(Double, Double, String, String) 
The ttest paired formula performs a ttest using Student's tdistribution with paired samples. This is useful when there is an observed natural pairing in samples (for example, when a sample group is tested twice). 
TTestUnequalVariances(Double, Double, String, String) 
The ttest with unequal variances formula performs a ttest using Student's tdistribution with unequal variances. 
Variance(String, Boolean) 
The variance formula calculates the variance within a group of data. 
ZTest(Double, Double, Double, Double, String, String) 
The Ztest formula performs a Ztest using normal distribution. 