StatisticFormula Class
Definition
Important
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Calculates statistical formulas.
public ref class StatisticFormulapublic class StatisticFormulatype StatisticFormula = classPublic Class StatisticFormula- Inheritance
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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) |
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) |
Returns the beta function value for two given values. |
| Correlation(String, String) |
Returns the correlation value for two data series. |
| Covariance(String, String) |
Returns the covariance value for two data series. |
| Equals(Object) |
Determines whether the specified object is equal to the current object. (Inherited from Object) |
| FDistribution(Double, Int32, Int32) |
Returns the cumulative F distribution function probability. |
| 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) |
Returns the gamma function value for the given variable. |
| 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) |
Returns the inverse of the F cumulative distribution. |
| InverseNormalDistribution(Double) |
Returns the inverse of the standard normal cumulative distribution. |
| InverseTDistribution(Double, Int32) |
Returns the inverse t-value of the Students t-distribution as a function of probability and degree of freedom. |
| Mean(String) |
Returns the average of all data points stored in the specified series. |
| Median(String) |
Returns the median of all data points in the specified series. |
| MemberwiseClone() |
Creates a shallow copy of the current Object. (Inherited from Object) |
| NormalDistribution(Double) |
Returns the probability for the standard normal cumulative distribution function. |
| TDistribution(Double, Int32, Boolean) |
Returns the probability for the T distribution (Student's distribution). |
| ToString() |
Returns a string that represents the current object. (Inherited from Object) |
| TTestEqualVariances(Double, Double, String, String) |
Performs a T Test using Student's distribution (T distribution) with equal variances. |
| 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) |
Performs a T Test using Student's distribution (T distribution) with unequal variances. |
| Variance(String, Boolean) |
Returns the variance for a series. |
| ZTest(Double, Double, Double, Double, String, String) |
Performs a Z Test using the Normal distribution. |
