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StatisticFormula Methods
Visual Studio 2010
The StatisticFormula type exposes the following members.
| Name | Description | |
|---|---|---|
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Anova | The Anova formula determines the existence or absence of a statistically significant difference between the mean values of two or more groups of data. |
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BetaFunction | The beta function calculates the beta function value. |
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Correlation | The correlation formula shows the strength of the relationship that exists between two random variables. |
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Covariance | The covariance formula measures the degree of dependence that may exist between two random variables. |
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Equals(Object) | Determines whether the specified Object is equal to the current Object. (Inherited from Object.) |
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FDistribution | The F distribution formula calculates the probability for the F-distribution. |
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Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
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FTest | The F-test formula performs a two-sample F-test using F distribution, and is used to see if the samples have different variances. |
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GammaFunction | The gamma function calculates the gamma value. |
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GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
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GetType | Gets the Type of the current instance. (Inherited from Object.) |
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InverseFDistribution | The inverse F distribution formula calculates the inverse of the F cumulative distribution. |
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InverseNormalDistribution | 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. |
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InverseTDistribution | The inverse t-distribution formula calculates the t-value of the Student's t-distribution as a function of probability and degrees of freedom. |
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Mean | The mean formula calculates the average, or mean, of data stored in a data series. |
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Median | The median formula calculates the median of the data stored in a data series. |
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MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
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NormalDistribution | 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. |
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TDistribution | The t-distribution formula calculates the probability for the Student's t-distribution. |
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ToString | Returns a string that represents the current object. (Inherited from Object.) |
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TTestEqualVariances | The t-test with equal variances formula performs a t-test using Student's t-distribution with equal variances. |
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TTestPaired | 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). |
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TTestUnequalVariances | The t-test with unequal variances formula performs a t-test using Student's t-distribution with unequal variances. |
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Variance | The variance formula calculates the variance within a group of data. |
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ZTest | The Z-test formula performs a Z-test using normal distribution. |
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