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/* eslint no-shadow: 0 */
const test = require("tap").test;const ss = require("../");
// Data from Poisson goodness-of-fit example 10-19 in William W. Hines & Douglas C. Montgomery,// "Probability and Statistics in Engineering and Management Science", Wiley (1980).const data1019 = [    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,    0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2,    2, 2, 2, 2, 2, 2, 3, 3, 3, 3];
test("chiSquaredGoodnessOfFit", function (t) {    t.test(        "can reject the null hypothesis with level of confidence specified at 0.05",        function (t) {            t.equal(                false,                ss.chiSquaredGoodnessOfFit(                    data1019,                    ss.poissonDistribution,                    0.05                )            );            t.end();        }    );    t.test(        "can accept the null hypothesis with level of confidence specified at 0.10",        function (t) {            t.equal(                true,                ss.chiSquaredGoodnessOfFit(                    data1019,                    ss.poissonDistribution,                    0.1                )            );            t.end();        }    );    t.test("can tolerate gaps in distribution", function (t) {        t.equal(            true,            ss.chiSquaredGoodnessOfFit(                [0, 2, 3, 7, 7, 7, 7, 7, 7, 9, 10],                ss.poissonDistribution,                0.1            )        );        t.end();    });    t.end();});