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) |
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. |
