Answer
$-Suitable\:for\:non-normal\:distributions.\\-Fewer\:assumptions\:needed.\\-Works\:with\:categorical\:data.\\-Easier\:calculations.\\-Simpler\:to\:understand.$
Work Step by Step
$Advantages\:of\:nonparametric\:test:\\
•\:Nonparametric\:test\:is\:used\:to\:test\:the\:population\:\\
parameters\:when\:the\:variables\:are\:notdistributed\:normally.\\
•\:Nonparametric\:test\:needs\:less\:condition\:so\:that\:\\
it\:can\:be\:used\:on\:a\:larger\:range\:of\:data.\\
•\:It\:can\:be\:appropriate\:to\:qualitative\:\left(categorical\right)\:data.\:\\
For\:example,\:class\:rank\:data\:\left(freshman,\:sophomore,\:junior,\:or\:senior\right).\\
•\:For\:some\:nonparametric\:tests,\:the\:hand\:calculations\:\\
are\:easier\:than\:the\:parametric\:counterparts.\\•\:Nonparametric\:test\:is\:an\:easier\:method\:to\:understand.$
