{"id":46044,"date":"2024-04-15T22:06:43","date_gmt":"2024-04-15T22:06:43","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=46044"},"modified":"2024-04-15T22:06:43","modified_gmt":"2024-04-15T22:06:43","slug":"if-x-predicts-y-it-does-mean-x-causes-y","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/if-x-predicts-y-it-does-mean-x-causes-y\/","title":{"rendered":"If X predicts Y, it does mean X causes Y."},"content":{"rendered":"<p>[amp_mcq option1=&#8221;TRUE&#8221; option2=&#8221;nan&#8221; option3=&#8221;nan&#8221; option4=&#8221;nan&#8221; correct=&#8221;option2&#8243;]<!--more--><\/p>\n<p>The correct answer is B. False.<\/p>\n<p>Correlation does not imply causation. Just because X predicts Y does not mean that X causes Y. For example, there is a correlation between ice cream sales and shark attacks. This does not mean that ice cream sales cause shark attacks, or that shark attacks cause ice cream sales. It is more likely that both ice cream sales and shark attacks are caused by a third factor, such as hot weather.<\/p>\n<p>There are many other examples of correlations that do not imply causation. For example, there is a correlation between the number of storks in a region and the number of births in that region. This does not mean that storks cause births, or that births cause storks. It is more likely that both the number of storks and the number of births are caused by a third factor, such as the availability of food.<\/p>\n<p>It is important to be aware of the difference between correlation and causation. Just because two things are correlated does not mean that one causes the other.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;TRUE&#8221; option2=&#8221;nan&#8221; option3=&#8221;nan&#8221; option4=&#8221;nan&#8221; correct=&#8221;option2&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[734],"tags":[],"class_list":["post-46044","post","type-post","status-publish","format-standard","hentry","category-introduction-to-data-science","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>If X predicts Y, it does mean X causes Y.<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/if-x-predicts-y-it-does-mean-x-causes-y\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"If X predicts Y, it does mean X causes Y.\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;TRUE&#8221; 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