| IMSL C# Numerical Library |
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NormTwoSample Members
NormTwoSample overview
Public Instance Constructors
NormTwoSample Constructor
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Constructor to compute statistics for mean and variance inferences using samples from two normal populations. |
Public Instance Properties
 ChiSquaredTest | The test statistic associated with the chi-squared test for common, or pooled, variances. |
| ChiSquaredTestDF | The degrees of freedom associated with the chi-squared test for the common, or pooled, variances. |
| ChiSquaredTestNull | The null hypothesis value for the chi-squared test. |
| ChiSquaredTestP | The probability of a larger chi-squared associated with the chi-squared test for common, or pooled, variances. |
| ConfidenceMean | The confidence level (in percent) for a two-sided interval estimate of the mean of x - the mean of y, in percent. |
| ConfidenceVariance | The confidence level (in percent) for two-sided interval estimate of the variances. |
| DiffMean | The difference of means for the two samples. |
| FTest | The F test value of the F test for equality of variances. |
| FTestDFdenominator | The denominator degrees of freedom of the F test for equality of variances. |
| FTestDFnumerator | The numerator degrees of freedom of the F test for equality of variances. |
| FTestP | The probability of a larger F in absolute value for the F test for equality of variances, assuming equal variances. |
| LowerCICommonVariance | The lower confidence limits for the common, or pooled, variance. |
| LowerCIDiff | The lower confidence limit for the mean of the first population minus the mean of the second for equal or unequal variances. |
| LowerCIRatioVariance | The approximate lower confidence limit for the ratio of the variance of the first population to the second. |
| MeanX | The mean of the first sample, x. |
| MeanY | The mean of the second sample, y. |
| PooledVariance | The Pooled variance for the two samples. |
| StdDevX | The standard deviation of the first sample, x. |
| StdDevY | The standard deviation of the second sample, y. |
| TTest | The test statistic for the Satterthwaite's approximation for equal or unequal variances. |
| TTestDF | The degrees of freedom for the Satterthwaite's approximation for t-test for either equal or unequal variances. |
| TTestNull | The Null hypothesis value for t-test for the mean. |
| TTestP | The approximate probability of a larger t for the Satterthwaite's approximation for equal or unequal variances. |
| UnequalVariances | Specifies whether to return statistics based on equal or unequal variances. |
| UpperCICommonVariance | The upper confidence limits for the common, or pooled, variance. |
| UpperCIDiff | The upper confidence limit for the mean of the first population minus the mean of the second for equal or unequal variances. |
| UpperCIRatioVariance | The approximate upper confidence limit for the ratio of the variance of the first population to the second. |
Public Instance Methods
| DowndateX | Removes the observations in x from the first sample. |
| DowndateY | Removes the observations in y from the second sample. |
| Equals (inherited from Object) |
Determines whether the specified Object is equal to the current Object.
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| GetHashCode (inherited from Object) |
Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table.
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| GetType (inherited from Object) |
Gets the Type of the current instance.
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| ToString (inherited from Object) |
Returns a String that represents the current Object.
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| Update | Concatenates samples x and y to the samples provided in the constructor. |
| UpdateX | Concatenates the values in x to the first sample provided in the constructor. |
| UpdateY | Concatenates the values in y to the second sample provided in the constructor. |
Protected Instance Methods
 Finalize (inherited from Object) |
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
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| MemberwiseClone (inherited from Object) |
Creates a shallow copy of the current Object.
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See Also
NormTwoSample Class | Imsl.Stat Namespace | Example