OneWayAnova Class 
Namespace: Accord.Statistics.Testing
The OneWayAnova type exposes the following members.
Name  Description  

OneWayAnova(Double) 
Creates a new oneway ANOVA test.
 
OneWayAnova(Double, Int32) 
Creates a new oneway ANOVA test.

Name  Description  

FTest 
Gets the FTest produced by this oneway ANOVA.
 
Table 
Gets the ANOVA results in the form of a table.

Name  Description  

Equals  Determines whether the specified object is equal to the current object. (Inherited from Object.)  
Finalize  Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)  
GetHashCode  Serves as the default hash function. (Inherited from Object.)  
GetType  Gets the Type of the current instance. (Inherited from Object.)  
MemberwiseClone  Creates a shallow copy of the current Object. (Inherited from Object.)  
ToString  Returns a string that represents the current object. (Inherited from Object.) 
Name  Description  

HasMethod 
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)  
ToT  Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)  
ToT  Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by Matrix.) 
The oneway ANOVA is a way to test for the equality of three or more means at the same time by using variances. In its simplest form ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes ttest to more than two groups.
References:
The following is the same example given in Wikipedia's page for the FTest [1]. Suppose one would like to test the effect of three levels of a fertilizer on plant growth.
To achieve this goal, an experimenter has divided a set of 18 plants on three groups, 6 plants each. Each group has received different levels of the fertilizer under question.
After some months, the experimenter registers the growth for each plant:
double[][] samples = { new double[] { 6, 8, 4, 5, 3, 4 }, // records for the first group new double[] { 8, 12, 9, 11, 6, 8 }, // records for the second group new double[] { 13, 9, 11, 8, 7, 12 }, // records for the third group };
Now, he would like to test whether the different fertilizer levels has indeed caused any effect in plant growth. In other words, he would like to test if the three groups are indeed significantly different.
// To do it, he runs an ANOVA test: OneWayAnova anova = new OneWayAnova(samples);
After the Anova object has been created, one can display its findings in the form of a standard ANOVA table by binding anova.Table to a DataGridView or any other display object supporting data binding. To illustrate, we could use Accord.NET's DataGridBox to inspect the table's contents.
DataGridBox.Show(anova.Table);
Result in:
The plevel for the analysis is about 0.002, meaning the test is significant at the 5% significance level. The experimenter would thus reject the null hypothesis, concluding there is a strong evidence that the three groups are indeed different. Assuming the experiment was correctly controlled, this would be an indication that the fertilizer does indeed affect plant growth.
[1] http://en.wikipedia.org/wiki/F_test