NormOneSample Members

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

ChiSquaredTest	Returns the test statistic associated with the chi-squared test for variances.
ChiSquaredTestDF	Returns the degrees of freedom associated with the chi-squared test for variances.
ChiSquaredTestNull	The null hypothesis value for the chi-squared test.
ChiSquaredTestP	Returns the probability of a larger chi-squared associated with the chi-squared test for variances.
ConfidenceMean	The confidence level (in percent) for a two-sided interval estimate of the mean.
ConfidenceVariance	The confidence level (in percent) for two-sided interval estimate of the variances.
LowerCIMean	Returns the lower confidence limit for the mean.
LowerCIVariance	Returns the lower confidence limits for the variance.
Mean	Returns the mean of the sample.
StdDev	Returns the standard deviation of the sample.
TTest	Returns the test statistic associated with the t test.
TTestDF	Returns the degrees of freedom associated with the t test for the mean.
TTestNull	Sets the Null hypothesis value for t test for the mean.
TTestP	Returns the probability associated with the t test of a larger t in absolute value.
UpperCIMean	Returns the upper confidence limit for the mean.
UpperCIVariance	Returns the upper confidence limits for the variance.

Equals (inherited from Object)	Determines whether the specified Object is equal to the current Object.
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.
GetType (inherited from Object)	Gets the Type of the current instance.
ToString (inherited from Object)	Returns a String that represents the current Object.

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.
MemberwiseClone (inherited from Object)	Creates a shallow copy of the current Object.