[This topic is pre-release documentation and is subject to change in future releases. Blank topics are included as placeholders.]

Bean for performing statistical calculations. The bean keeps sums of X and Y datapoints and sums on squares that can be reused by subclasses. The bean calculates standard deviation (sample and population), variance, average and sum.

The following tables list the members exposed by the BaseStatisticsBean type.

Public Methods

  NameDescription
AddPointOverloaded.
Clone
Creates a new object that is a copy of the current instance.

Equals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
GetHashCode
Serves as a hash function for a particular type. GetHashCode() is suitable for use in hashing algorithms and data structures like a hash table.
(Inherited from Object.)
GetType
Gets the Type of the current instance.
(Inherited from Object.)
RemovePointOverloaded.
ToString
Returns a String that represents the current Object.
(Overrides .ToString().)

Protected Methods

  NameDescription
Finalize
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.)
MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)

Public Constructors

  NameDescription
BaseStatisticsBeanNew

Public Properties

  NameDescription
N
Returns the number of data points.

SumXSq
For use by subclasses, returns sum (X * X).

SumXY
For use by subclasses, returns sum (X * Y).

SumYSq
For use by subclasses, returns sum (Y * Y).

xaverage
Returns the average of all X data points.

XAverage
Returns the average of all X data points.

XStandardDeviationPop
Calculates standard deviation for X based on the entire population given as arguments. Equivalent to Microsoft Excel formula STDEVPA.

XStandardDeviationSample
Calculates standard deviation for X based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.

xsum
Returns the sum of all X data points.

XSum
Returns the sum of all X data points.

xvariance
Calculates standard deviation for X based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.

XVariance
Calculates standard deviation for X based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.

yaverage
Returns the average of all Y data points.

YAverage
Returns the average of all Y data points.

YStandardDeviationPop
Calculates standard deviation for Y based on the entire population given as arguments. Equivalent to Microsoft Excel formula STDEVPA.

YStandardDeviationSample
Calculates standard deviation for Y based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.

ysum
Returns the sum of all Y data points.

YSum
Returns the sum of all Y data points.

YVariance
Calculates standard deviation for Y based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.