StatisticFormula Class
Calculates statistical formulas.
Assembly: System.Web.DataVisualization (in System.Web.DataVisualization.dll)
| Name | Description | |
|---|---|---|
 | 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. |
 | Finalize() | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.(Inherited from Object.) |
| 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() | |
| 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() | |
| 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. |
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.
Available since 4.0
Any public static ( Shared in Visual Basic) members of this type are thread safe. Any instance members are not guaranteed to be thread safe.