Statistic -

profileKiera27

150 words with one reference and intext citation 


Part 1

A situation that would be good to use statistics for is whether or not taking aspirin daily helps reduce the risk of a heart attack. My question would be does taking aspirin everyday reduce the risk of a heart attack?  The null hypothesis for this would be taking aspirin daily does not affect heart attack risk.   If we were to test the hypothesis and determine that the null hypothesis is rejected we can then assume we are accepting the alternative.  That being said it doesn't necessarily mean that the statistical evaluation was bad.  It just means that currently there is really no relationship between aspirin and heart attacks. If the statistical evidence had proven that there was a benefit in taking aspirin everyday to prevent heart attacks, then it would be something beneficial both the pharmaceutical companies as well as the consumers who were already at risk for heart attacks or strokes.  If there is not enough evidence then I would maybe consider altering my hypothesis to be more specific. The effects of aspirin positive or negative have been something that has been studied for a long time amongst clinicians, and statistics has help aid in the ultimate use of aspirin day to day in medical practices. 

References

Tests of Significance: Against All Odds: Inside Statistics [Video file]. (2013). Retrieved April 8, 2019, from https://fod.infobase.com/PortalPlaylists.aspx?wID=104861&xtid=111536

Helmenstine, A. M., Ph.D. (2019, March 21). Null Hypothesis Examples. Retrieved from https://www.thoughtco.com/null-hypothesis-examples-609097 (Links to an external site.)Links to an external site.


150 words with one reference and intext citation 

Part 2


 The kind of question I would like to ask is whether or not eating healthy is statistically health against an average diet. So if this test was conducted and my hypothesis that diet is not the biggest factor to healthy lifestyle it would be hard to gauge without parameters as we need to know that the subject groups live similar lifestyles versus maybe a sedentary versus heavy exercise group. If there was enough significance to my trial it would show that yes healthy eating does play a role by lowering these key items in a persons health while also showing that the same was not the same for the opposite side. Statistical significance is important however i feel sometimes the data is used to justify a significant change for people like in the example of lowering blood pressure by 2 percent for many it would make little difference if their blood pressure was already well controlled with current medication, and the outcome would only be significant to a small group to get them to a more proper pressure to help alleviate possible complications later in life.  


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