"statistical methods for dangerous weapon in the hands of unqualified person" explain ?
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Explanation:
Statistical tools in the hand of inexpereinced is dangerous because in many tests for example if representative sample size not taken then we can get baised results. Also if the sample taken if taken using judgement non-proability sampling then also the result may come biased since the data collectors judgement is there in the sample collection. Also graphs can be wrongly read by many people, for example weightes cannot be displayed in line graphs so if year against number boy and girl admission is shown with boys admission increasing we assume admission faculty is biased but the truth based on weights is that number of girls applying to the university is less and thus
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