deno.land / x / simplestatistics@v7.8.3 / test / binomial_distribution.test.js
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const test = require("tap").test;const ss = require("../dist/simple-statistics.js");
function rnd(n) { return parseFloat(n.toFixed(4));}
test("binomialDistribution", function (t) { // Data given in the [Wikipedia example](http://en.wikipedia.org/wiki/Binomial_distribution#Example) retrieved 29 Mar 2014 // Cumulative probabilities worked by hand to mitigate accumulated rounding errors. t.test( "can return generate probability and cumulative probability distributions for n = 6, p = 0.3", function (t) { t.equal("object", typeof ss.binomialDistribution(6, 0.3)); t.equal( rnd(ss.binomialDistribution(6, 0.3)[0]), 0.1176, ss.epsilon ); t.equal( rnd(ss.binomialDistribution(6, 0.3)[1]), 0.3025, ss.epsilon ); t.equal( rnd(ss.binomialDistribution(6, 0.3)[2]), 0.3241, ss.epsilon ); t.equal( rnd(ss.binomialDistribution(6, 0.3)[3]), 0.1852, ss.epsilon ); t.equal( rnd(ss.binomialDistribution(6, 0.3)[4]), 0.0595, ss.epsilon ); t.equal( rnd(ss.binomialDistribution(6, 0.3)[5]), 0.0102, ss.epsilon ); t.equal( rnd(ss.binomialDistribution(6, 0.3)[6]), 0.0007, ss.epsilon ); t.end(); } );
t.test( "can return null when p or n are not valid parameters", function (t) { t.equal( ss.binomialDistribution(0, 0.5), undefined, "n should be strictly positive" ); t.equal( ss.binomialDistribution(1.5, 0.5), undefined, "n should be an integer" ); t.equal( ss.binomialDistribution(2, -0.01), undefined, "p should be greater than 0.0" ); t.equal( ss.binomialDistribution(2, 1.5), undefined, "p should be less than 1.0" ); t.end(); } ); t.end();});
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