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StatisticFormula Class

  • Reference

Definition

Namespace:
System.Web.UI.DataVisualization.Charting
Assembly:
System.Web.DataVisualization.dll

Calculates statistical formulas.

public ref class StatisticFormula
public class StatisticFormula
type StatisticFormula = class
Public Class StatisticFormula
Inheritance
Object
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 F-distribution.
FTest(Double, String, String)

The F-test formula performs a two-sample F-test 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 t-distribution formula calculates the t-value of the Student's t-distribution 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 t-distribution formula calculates the probability for the Student's t-distribution.
ToString()

Returns a string that represents the current object.

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

The t-test with equal variances formula performs a t-test using Student's t-distribution with equal variances.
TTestPaired(Double, Double, String, String)

The t-test paired formula performs a t-test using Student's t-distribution 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 t-test with unequal variances formula performs a t-test using Student's t-distribution 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 Z-test formula performs a Z-test using normal distribution.

Applies to