Homework Lance
PSY 530 Module 1 DQ 2
We encounter various types of statistics on a daily basis; some are correlational (nonexperimental) and others are causational (experimental). Describe how these two methods differ. Using an example of a statistic from a commercial, political group, or other day to day forum, explain how the statistic was used to support a specific claim. Develop a hypothesis that could be studied to make the statistic more reliable and valid. Explain why.
Answer:
Correlational statistics is between many variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other, whereas causational statistics deal with the value of one event,or variable, increases or decreases as a result of other events, this is where causational statistics is.
An example would be from a political group the rebublican presidential canidate position on bringing back stop and frisk aslo know as the (Terry stop) even though it was ruled a violation of our rights by the federal courts. Statistics would show that people of minority races as well as people living in a poor socioeconomic status would be stopped and frisked by New York P.D. A hypotheseis would show that african americans as well as hispanics were targeted by New York PD which was being seen and observed by research scientist. Also a study was done in 2007 on the subject matter it showed that african-americans and latinos were stopped due to race and the estimation of the high crime rate population. My explanation would be that white americans and people of high socioeconomic status were not harrased, stopped, or frisked by police it clearly shows and is documented that hypothesis can be validated and proven.
http://gcumedia.com/digital-resources/pearson/2012/social-psychology_ebook_8e.php
www.nytimes.com/stop-and-frisk
Report:Beyond”Deliberate Indifference”An NYPD for all New Yorkers(2013)
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