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Question.3908 - This week, we are learning about correlation and the Pearson r correlation coefficient. Correlations tell us about relationships between variables (not cause and effect). After you read the chapter and review the material in this module, do the following activity:  Go to Google Scholar (type "Google Scholar" in Google and click the Google Scholar link that shows up as the first link). This site lets you find scholarly articles (articles published in peer reviewed journals - reviewed by peer experts, which makes them more scientifically reliable).  Type "correlation between" in the search field, and a few topics will pop up as options you can choose from. Scroll through the topics and select one that sounds interesting to you, and click search or enter.  Articles related to what you chose should come up. Scroll through the articles, and choose one available in PDF format ("PDF" should be noted on the right side of the article listing when PDFs are available) in the topic you have selected.  Skim through the article and provide the following as best you can based on material covered in this module (do your best with what you read and understand from the article):  What were the variables being explored in this study, what relationship was explored (usually in the introduction section)?  What were the hypotheses in this study? What predictions were the researchers making? (usually found after the review of the literature and right before the method section) Under the results section, find a report of a correlation and type it in here (find r reported in APA style as per your textbook; any r result reported):  What does this result mean? What was a decision made about this result in terms of significance? Also, what was the p value for the r you reported in question 3; is that significant or not?

Answer Below:

The xxxxx primarily xxxxxxxx the xxxxxxxxxxxx between xxxxxxxxx level xxx income xxxxxxxxxxxx Variables xxxx as xxxxx of xxxxxxxxx income xxxxxxxx average xxxxxx and xxxxx socioeconomic xxxxxxx were xxxxxxxx to xxxxxxxxxx their xxxxxx on xxxxxx distribution xx the xxxxxx States xxxxxx and xxx Netherlands xxxxxxxxx The xxxxxxxxxx was xxxx education xxxxx a xxxxxxxxxxx role xx determining xxxxxx distribution xxxxxxxxx The xxxxxxxxxxx predicted xxxx higher xxxxxx of xxxxxxxxx and x more xxxxx distribution xx education xxxxx help xxxxxx income xxxxxxxxxx In xxxx A x for xxx Netherlands xx the xxxx of x R xxx the xxxxxx States xxxx nbsp xxxx nbsp xxxx nbsp xx case x R xxx the xxxxxxxxxxx provinces xxxx nbsp xxxx nbsp xxxx nbsp xx the xxxx of x for xxx Netherlands xxxxxxxxxxxxxx nbsp xxxx nbsp xxxx nbsp xx case x R xx for xxx Netherlands xxxxxxxxx nbsp xxxx nbsp xxxx nbsp xx case x R xxx Canada xxxxxxxxx All xxx cases xxxx a xxxxxx positive xxxxxxxxxxx since xxx R-value xxx all xxx cases xx closer xx It xxxxxxxx that xxx other xxxxxxxx will xxxx increase xx one xxxxxxxx increases xx education xxxxxxxxx Income xxxxx increases xxxxx all xxx correlations x are xxxxx high xxxxx to xx above xx rsquo x very xxxxxx that xxxxx results xxx statistically xxxxxxxxxxx meaning xxx relationships xxxxxxx the xxxxxxxxx are xxx due xx random xxxxxx There xxx no xx value xxxxx References xxxxxxxxx J xxx impact xx education xx income xxxxxxxxxxxx nbsp xxxxxx of xxxxxx and xxxxxx nbsp x

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