StatisticFormula StatisticFormula StatisticFormula StatisticFormula Class

Definition

Calculates statistical formulas.

public ref class StatisticFormula
public class StatisticFormula
type StatisticFormula = class
Public Class StatisticFormula
Inheritance
StatisticFormulaStatisticFormulaStatisticFormulaStatisticFormula

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) Anova(Double, String) Anova(Double, String) Anova(Double, String)

Performs an ANOVA test to determine whether there is a statistically significant difference between the mean values of two or more groups of data.

BetaFunction(Double, Double) BetaFunction(Double, Double) BetaFunction(Double, Double) BetaFunction(Double, Double)

Returns the beta function value for two given values.

Correlation(String, String) Correlation(String, String) Correlation(String, String) Correlation(String, String)

Returns the correlation value for two data series.

Covariance(String, String) Covariance(String, String) Covariance(String, String) Covariance(String, String)

Returns the covariance value for two data series.

Equals(Object) Equals(Object) Equals(Object) Equals(Object)

Determines whether the specified object is equal to the current object.

(Inherited from Object)
FDistribution(Double, Int32, Int32) FDistribution(Double, Int32, Int32) FDistribution(Double, Int32, Int32) FDistribution(Double, Int32, Int32)

Returns the cumulative F distribution function probability.

FTest(Double, String, String) FTest(Double, String, String) FTest(Double, String, String) FTest(Double, String, String)

Performs a two-sample F Test using the F distribution. This test is used to determine if the samples have different variances.

GammaFunction(Double) GammaFunction(Double) GammaFunction(Double) GammaFunction(Double)

Returns the gamma function value for the given variable.

GetHashCode() GetHashCode() GetHashCode() GetHashCode()

Serves as the default hash function.

(Inherited from Object)
GetType() GetType() GetType() GetType()

Gets the Type of the current instance.

(Inherited from Object)
InverseFDistribution(Double, Int32, Int32) InverseFDistribution(Double, Int32, Int32) InverseFDistribution(Double, Int32, Int32) InverseFDistribution(Double, Int32, Int32)

Returns the inverse of the F cumulative distribution.

InverseNormalDistribution(Double) InverseNormalDistribution(Double) InverseNormalDistribution(Double) InverseNormalDistribution(Double)

Returns the inverse of the standard normal cumulative distribution.

InverseTDistribution(Double, Int32) InverseTDistribution(Double, Int32) InverseTDistribution(Double, Int32) InverseTDistribution(Double, Int32)

Returns the inverse t-value of the Students t-distribution as a function of probability and degree of freedom.

Mean(String) Mean(String) Mean(String) Mean(String)

Returns the average of all data points stored in the specified series.

Median(String) Median(String) Median(String) Median(String)

Returns the median of all data points in the specified series.

MemberwiseClone() MemberwiseClone() MemberwiseClone() MemberwiseClone()

Creates a shallow copy of the current Object.

(Inherited from Object)
NormalDistribution(Double) NormalDistribution(Double) NormalDistribution(Double) NormalDistribution(Double)

Returns the probability for the standard normal cumulative distribution function.

TDistribution(Double, Int32, Boolean) TDistribution(Double, Int32, Boolean) TDistribution(Double, Int32, Boolean) TDistribution(Double, Int32, Boolean)

Returns the probability for the T distribution (Student's distribution).

ToString() ToString() ToString() ToString()

Returns a string that represents the current object.

(Inherited from Object)
TTestEqualVariances(Double, Double, String, String) TTestEqualVariances(Double, Double, String, String) TTestEqualVariances(Double, Double, String, String) TTestEqualVariances(Double, Double, String, String)

Performs a T Test using Student's distribution (T distribution) with equal variances.

TTestPaired(Double, Double, String, String) TTestPaired(Double, Double, String, String) TTestPaired(Double, Double, String, String) TTestPaired(Double, Double, String, String)

Performs a T Test using Student's distribution (T distribution) with paired samples. This is useful when there is a natural pairing of observations in samples.

TTestUnequalVariances(Double, Double, String, String) TTestUnequalVariances(Double, Double, String, String) TTestUnequalVariances(Double, Double, String, String) TTestUnequalVariances(Double, Double, String, String)

Performs a T Test using Student's distribution (T distribution) with unequal variances.

Variance(String, Boolean) Variance(String, Boolean) Variance(String, Boolean) Variance(String, Boolean)

Returns the variance for a series.

ZTest(Double, Double, Double, Double, String, String) ZTest(Double, Double, Double, Double, String, String) ZTest(Double, Double, Double, Double, String, String) ZTest(Double, Double, Double, Double, String, String)

Performs a Z Test using the Normal distribution.

Applies to