Here we discuss correlation causality spurious correlations and misrepresentations of correlation in the news This 4839- CoachOnCouch

Statistics for Psychology

Question.4839 - 07796000Here we discuss correlation, causality, spurious correlations, and misrepresentations of correlation in the news.. This will be a detailed discussion worth 10 points so plan accordingly. Image by Mediamodifier from PixabayPlease use the following Instructions to write your reply.Part 1 - Explaining Correlation: Please write out how you would explain correlation to an interested friend. What information do we need to tell people if they are going to understand what correlation is, what it can tell us, how it achieves this and what we need to watch out for? Part 2 - Nonsense Correlations and Misuses of Correlation:Please look at a few examples of spurious correlations on this website Spurious Correlations. Explain what this tells you about correlation that you didn't already know. Next, please explain a time in your life where you mistakenly attributed cause and later found out that something else was the true cause of that event. What led you to mistakenly attribute cause?What is an example of a correlation that you KNOW is just a correlation and not a cause, but in spite of that, you always worry that there is causality there? Part 3 - Misrepresentation of correlation in the news or other media:Find a news story which falsely claims or implies causation based only on correlational evidence, or find a journal article that studies the misrepresentation of correlation in the media. List the reference, and explain what is misrepresented, what agenda is being supported, and explain if you think the misrepresentation is accidental or deliberate.Even if you know that correlation is not a guarantee of causation and it does not necessarily imply a causation, on a scale of 0-10 where 0 is no persuasive effect at all and 10 is maximal persuasive power, when you hear that two things are correlated, how strongly do you suspect that there IS causation? On that same scale, how strongly do you think OTHER people suspect that there IS causation? ** The main post should be at least 500 words. Please reply to at least 2 classmates and each reply should be 200 words or more. Remember that we are using discussions and SPSS instead of hand calculations and extensive testing so we expect very strong participation in the discussions and extensive main posts and replies. Post sooner rather than later to give people a chance to see your replies. Help each other answer questions. **

Answer Below:

Part x would xxxxx explaining xxxxxxxxxxx by xxxxxxxxx the xxxxxxxxxx Correlation xx used xx determine xxxxxxx the xxxxxxxxxxxx between xxx variables xxxxxx or xxx We xxxxxxxxx the xxxxxxxxx and xxxxxxxx of xxx relationship xxx instance xxx us xxxxxxxx a xxxxxx example xxx s xxx education xxx income xxx the xxx variables xx the xxxxxxxxx is xxxx the xxxxxx will xx less xxxx is x negative xxxxxxxxxxx and xx a xxxxxx is xxxxxx education xxx income xxxx be xxxx This x positive xxxxxxxxxxx Correlation xx denoted xx r xxx it xx measured xxxx a xxxxxx called xxxxxxxxxxx coefficient xx ranges xx - xx If xxx value xx the xxxxxxxxxxx is xxxxx to x then xx is xxxx to xx negatively xxxxxxxxxx and xx the xxxxx of xxx correlation xx close xx then xx is xxxx to xx positively xxxxxxxxxx The xxxxx of xxxxxxxx that xxxxx is xx correlation xx all xxxxxx It xx also xxxxxxxxx to xxxxxxxxxx that xxxxxxxxxxx does xxx imply xxxxxxxxx When xxx things xxxxxx together xx determining xxx relationship xx are xxx proving xxxx one xxxxxxxx causes xxx other xx occur xxxxx could xx a xxxxx variable xxxxx could xx influencing xxxx Part xxxxx looking xx the xxxxxxxx from xxx website x found xxxx Associates xxxxxxx awarded xx Mathematics xxx statistics xxxxxxxxxx with xxxxxx searches xxx 'dollar xxxxx near xx Vigen xxxxx interesting xxxxxxx and xxxxx is x strong xxxxxxxxxxx r xxxxxxx the xxxxxx of xxxxxxxxx degrees xxxxxxx in xxxx statistics xxx the xxxxxxxxx of xxxxxx searches xxx dollar xxxxx near xx Both xxxxxxxxx steadily xxxx time xxx if xx only xxxxxx at xxx data xx might xx tempted xx think xxxxx is x meaningful xxxxxxxxxx But xxxxxxxxx these xxx things xxx totally xxxxxxxxx There xx no xxxxxxxx mechanism xxxx would xxxxxxx earning x math xxxxxx with xxxxxxxxx for xxxxxx stores x thought xxxx drinking xxx will xxxx me xxxx in xxxxxxxx stress xx that x can xx more xxxxxxx on xxxxxxxx I xxxx to xxxxxx make x cup xx tea xxxxxx sitting xxxx to xxxx I xxxxxxx that xxx tea xxx the xxxxxx Later x realized xxxx it xxxx t xxx tea xxxxxx a xxxxx environment xxx setting xxx mood xx study xxxx the xxxxxxxxxx I xxx mistakenly xxxxxxx that xxx tea xxx the xxxxx for xx One xxxxxxx that x know xx the xxxxxxxxxxx between xxxxxx late xxxxx and xxxxxxx weight xxxx though x know xxxx gaining xxxxxx is xxxxxx due xx the xxxxxx of xxxxxxxx we xxxx and xxx level xx activity xx I xxxxx worry xxxx eating xxxx night xxxxxx to xxxx weight xxxxxxxxx I xxxxx eating xxxx even xxxxxx I xxxxxxxxxx that xx is xxxx a xxxxxxxxxxx Part xxx article x found xx Is xxxx A xxxxxxx Gun xxx Teen xxxxxxxx - xx Just xxxxxxxxxxx Illiteracy xxx article xxxx shows x correlation xxxxxxx soda xxxxxxxx and xxxx violence xxxxxxx Media xxxxxxx implied xxxx drinking xxxx causes xxxxxxxx Butterworth x d xxx misinterpretation xxxxxxx to xxxxxxx public xxxxxx agendas xx order xx reduce xxx soda xxxxxxxxxxx among xxxx The xxxxx stories xxxx aimed xx alarm xxx public xxx policymakers xxxxxxxxx strict xxxxxxxxxxx on xxxxxx drinks xx implying x direct xxxxxx link xxxxxxx soda xxxxxx and xxxxxxxx While xxx original xxxxx reported x correlation xxx media's xxxxxxxxx often xxxxxx the xxxxxxxxx context xxxxxxx readers xx infer xxxxxxxxx This xxxxxxxxxxxxxxxxx seems xx be x mix xx both xxxxxxxxxx and xxxxxxxxxx factors xxxxxxxxxxx may xxxx unintentionally xxxxxxxxxxxxxx the xxxxxxxx due xx a xxxx of xxxxxxxxxxx literacy xxxxxxx the xxx of xxxxxxxxxxx headlines xxx narratives xxxxxxxx a xxxxxxxxxx attempt xx attract xxxxxxxxxx by xxxxxxxxxxx a xxxx dramatic xxxxxxxxxxxx relationship xxxx I xxxx that xxx things xxx correlated x would xxxx my xxx suspicion xx as x believe xxxx I xxxxxxxxxx better xxxx correlation xxxx not xxxxx causation x would xxxx others xxxxxx as x believe xxxx many xxxxxx may xxx have x strong xxxxxxxxxx in xxxxxxxxxx or xxxxxxxx thinking xxxxxx to xxxxxxxxxxxxx between xxxxxxxxxxx and xxxxxxxxx References xxxxxx S xxxxxxxx Correlation xxxxxxxxx Finance xxxxxxxxx https xxxxxxxxxxxxxxxxxxxxxxxxx com xxxxxxxxx data-science xxxxxxxxxxx Butterworth x n x Is xxxx A xxxxxxx Gun xxx Teen xxxxxxxx - xx Just xxxxxxxxxxx Illiteracy xxxxxx https xxx forbes xxx sites xxxxxxxxxxxxxxxxx is-soda-a-smoking-gun-for-teen-violence-or-just-statistical-illiteracy xxx Statistical xxxxxxxxx Correlation xx Causation xxx com xxxxx www xxx com xx statistics-knowledge-portal xxxxxxxxxxxxxxxxxxx correlation-vs-causationVigen x Spurious xxxxxxxxxxxx Tylervigen xxx https xxx tylervigen xxx spurious-correlations