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

BinomialTest 
Creates a Binomial test.
 
BinomialTest(Boolean, Double, OneSampleHypothesis) 
Tests the probability of two outcomes in a series of experiments.
 
BinomialTest(Int32, Int32, Double, OneSampleHypothesis) 
Tests the probability of two outcomes in a series of experiments.

Name  Description  

CriticalValue 
Gets the critical value for the current significance level.
(Inherited from HypothesisTestTDistribution.)  
Hypothesis 
Gets the alternative hypothesis under test. If the test is
Significant, the null hypothesis can be rejected
in favor of this alternative hypothesis.
 
PValue 
Gets the Pvalue associated with this test.
(Inherited from HypothesisTestTDistribution.)  
Significant 
Gets whether the null hypothesis should be rejected.
(Inherited from HypothesisTestTDistribution.)  
Size 
Gets the significance level for the
test. Default value is 0.05 (5%).
(Inherited from HypothesisTestTDistribution.)  
Statistic 
Gets the test statistic.
(Inherited from HypothesisTestTDistribution.)  
StatisticDistribution 
Gets the distribution associated
with the test statistic.
(Inherited from HypothesisTestTDistribution.)  
Tail 
Gets the test type.
(Inherited from HypothesisTestTDistribution.) 
Name  Description  

Compute 
Computes the Binomial test.
 
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.)  
OnSizeChanged 
Called whenever the test significance level changes.
(Inherited from HypothesisTestTDistribution.)  
PValueToStatistic 
Converts a given pvalue to a test statistic.
(Overrides HypothesisTestTDistributionPValueToStatistic(Double).)  
StatisticToPValue 
Converts a given test statistic to a pvalue.
(Overrides HypothesisTestTDistributionStatisticToPValue(Double).)  
ToString 
Converts the numeric PValue of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.)  
ToString(String, IFormatProvider) 
Converts the numeric PValue of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.) 
Name  Description  

HasMethod 
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)  
IsEqual  Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)  
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.) 
In statistics, the binomial test is an exact test of the statistical significance of deviations from a theoretically expected distribution of observations into two categories. The most common use of the binomial test is in the case where the null hypothesis is that two categories are equally likely to occur (such as a coin toss).
When there are more than two categories, and an exact test is required, the multinomial test, based on the multinomial distribution, must be used instead of the binomial test.
References:
This is the second example from Wikipedia's page on hypothesis testing. In this example, a person is tested for clairvoyance (ability of gaining information about something through extra sensory perception; detecting something without using the known human senses.
// A person is shown the reverse of a playing card 25 times and is // asked which of the four suits the card belongs to. Every time // the person correctly guesses the suit of the card, we count this // result as a correct answer. Let's suppose the person obtained 13 // correctly answers out of the 25 cards. // Since each suit appears 1/4 of the time in the card deck, we // would assume the probability of producing a correct answer by // chance alone would be of 1/4. // And finally, we must consider we are interested in which the // subject performs better than what would expected by chance. // In other words, that the person's probability of predicting // a card is higher than the chance hypothesized value of 1/4. BinomialTest test = new BinomialTest( successes: 13, trials: 25, hypothesizedProbability: 1.0 / 4.0, alternate: OneSampleHypothesis.ValueIsGreaterThanHypothesis); Console.WriteLine("Test pValue: " + test.PValue); // ~ 0.003 Console.WriteLine("Significant? " + test.Significant); // True.