Constructor to compute statistics for mean and variance inferences using a sample from a normal population.

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.

Returns the test statistic associated with the chi-squared test for variances.

Returns the degrees of freedom associated with the chi-squared test for variances.

The null hypothesis value for the chi-squared test.

Returns the probability of a larger chi-squared associated with the chi-squared test for variances.

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

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

Returns the lower confidence limit for the mean.

Returns the lower confidence limits for the variance.

Returns the mean of the sample.

Returns the standard deviation of the sample.

Returns the test statistic associated with the t test.

Returns the degrees of freedom associated with the t test for the mean.

Sets the Null hypothesis value for t test for the mean.

Returns the probability associated with the t test of a larger t in absolute value.

Returns the upper confidence limit for the mean.

Returns the upper confidence limits for the variance.