Editing Binomial test (section)

==In statistical software packages==
Binomial tests are available in most software used for statistical purposes. E.g.

* In [[R (programming language)|R]] the above example could be calculated with the following code: 
** <syntaxhighlight lang="r" inline>binom.test(51, 235, 1/6, alternative = "less")</syntaxhighlight> (one-tailed test)
** <syntaxhighlight lang="r" inline>binom.test(51, 235, 1/6, alternative = "greater")</syntaxhighlight> (one-tailed test)
** <syntaxhighlight lang="r" inline>binom.test(51, 235, 1/6, alternative = "two.sided")</syntaxhighlight> (two-tailed test)

* In [[Java (programming language)|Java]] using the [[Apache Commons]] library: 
** <syntaxhighlight lang="java" inline>new BinomialTest().binomialTest(235, 51, 1.0 / 6, AlternativeHypothesis.LESS_THAN)</syntaxhighlight> (one-tailed test)
** <syntaxhighlight lang="java" inline>new BinomialTest().binomialTest(235, 51, 1.0 / 6, AlternativeHypothesis.GREATER_THAN)</syntaxhighlight> (one-tailed test)
** <syntaxhighlight lang="java" inline>new BinomialTest().binomialTest(235, 51, 1.0 / 6, AlternativeHypothesis.TWO_SIDED)</syntaxhighlight> (two-tailed test) 

* In [[SAS (software)|SAS]] the test is available in the Frequency procedure<syntaxhighlight lang="sas">
PROC FREQ DATA=DiceRoll ;
	TABLES Roll / BINOMIAL (P=0.166667) ALPHA=0.05 ;
	EXACT  BINOMIAL ;
	WEIGHT Freq ;
RUN;
</syntaxhighlight>
* In [[SPSS]] the test can be utilized through the menu ''Analyze'' > ''Nonparametric test'' > ''Binomial''<syntaxhighlight lang="text">
 npar tests 
 /binomial (.5) = node1 node2.
</syntaxhighlight>
* In [[Python (programming language)|Python]], use [[SciPy]]'s [https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.binomtest.html binomtest]:
** <syntaxhighlight lang="python" inline>scipy.stats.binomtest(51, 235, 1.0/6, alternative="greater")</syntaxhighlight> (one-tailed test)
** <syntaxhighlight lang="python" inline>scipy.stats.binomtest(51, 235, 1.0/6, alternative="two-sided")</syntaxhighlight> (two-tailed test)
* In [[MATLAB]], use [http://www.mathworks.com/matlabcentral/fileexchange/24813-binomial-test myBinomTest], which is available via Mathworks' community File Exchange website. myBinomTest will directly calculate the p-value for the observations given the hypothesized probability of a success. <syntaxhighlight lang="matlab" inline>[pout]=myBinomTest(51, 235, 1/6)</syntaxhighlight> (generally two-tailed, but can optionally perform a one-tailed test).
* In [[Stata]], use bitest.
* In [[Microsoft Excel]], use Binom.Dist. The function takes parameters (Number of successes, Trials, Probability of Success, Cumulative).  The "Cumulative" parameter takes a boolean True or False, with True giving the Cumulative probability of finding this many successes (a left-tailed test), and False the exact probability of finding this many successes.