Constructor to compute statistics for mean and variance inferences using samples from two normal populations.

Removes the observations in x from the first sample.

Removes the observations in y from the second sample.

Determines whether the specified Object is equal to the current Object.

Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a String that represents the current Object.

Concatenates samples x and y to the samples provided in the constructor.

Concatenates the values in x to the first sample provided in the constructor.

Concatenates the values in y to the second sample provided in the constructor.

The test statistic associated with the chi-squared test for common, or pooled, variances.

The degrees of freedom associated with the chi-squared test for the common, or pooled, variances.

The null hypothesis value for the chi-squared test.

The probability of a larger chi-squared associated with the chi-squared test for common, or pooled, variances.

The confidence level (in percent) for a two-sided interval estimate of the mean of x - the mean of y, in percent.

The confidence level (in percent) for two-sided interval estimate of the variances.

The difference of means for the two samples.

The F test value of the F test for equality of variances.

The denominator degrees of freedom of the F test for equality of variances.

The numerator degrees of freedom of the F test for equality of variances.

The probability of a larger F in absolute value for the F test for equality of variances, assuming equal variances.

The lower confidence limits for the common, or pooled, variance.

The lower confidence limit for the mean of the first population minus the mean of the second for equal or unequal variances.

The approximate lower confidence limit for the ratio of the variance of the first population to the second.

The mean of the first sample, x.

The mean of the second sample, y.

The Pooled variance for the two samples.

The standard deviation of the first sample, x.

The standard deviation of the second sample, y.

The test statistic for the Satterthwaite's approximation for equal or unequal variances.

The degrees of freedom for the Satterthwaite's approximation for t-test for either equal or unequal variances.

The Null hypothesis value for t-test for the mean.

The approximate probability of a larger t for the Satterthwaite's approximation for equal or unequal variances.

Specifies whether to return statistics based on equal or unequal variances.

The upper confidence limits for the common, or pooled, variance.

The upper confidence limit for the mean of the first population minus the mean of the second for equal or unequal variances.

The approximate upper confidence limit for the ratio of the variance of the first population to the second.