Answer
$Nonparametric\:statistics\:are\:used\:when\:the\:population\:$
$is\:not\:normally\:distributed.\:These\:tests\:do\:not\:depend\:$
$on\:the\:population's\:specific\:frequency\:distribution\:or\:$
$parameters,\:making\:them\:distribution-free\:tests.$
Work Step by Step
$If\:the\:population\:in\:a\:particular\:hypothesis-testing$
$\:situation\:is\:not\:normally\:distributed\:then\:we\:use\:$
$nonparametric\:procedures. The\:non\:parametric\:test\:$
$is\:a\:test\:that\:does\:not\:depend\:on\:the\:particular\:form\:$
$of\:the\:frequency\:function\:from\:which\:the\:samples\:are\:$
$drawn.\:In\:other\:words,\:non\:parametric\:test\:does\:not\:$
$make\:any\:assumption\:regarding\:the\:form\:of\:the\:population.\:$
$The\:non-parametric\:test\:doesn't\:depend\:on\:the\:parameters\:$
$of\:the\:population. The\:statistical\:tests\:are\:also\:called\:$
$distribution-free\:tests.$
