Activities  and Absences

 
Abstract
Background
The Study
Discussion
Conclusion
 

 

 

 
 
 
 

     Does the Number of activities affect the number

                                          of absences?

 
      They say that students who are involved in school activites are more likey to do better academically in school. There are students who are not invloved and actually do good too. But do students, whether in any activites or not, miss many days of school?

  


          I was curious if students who were involved in any student activities would be absent as often as studnets who are not. I know many students who are invloved and most have only missed a day of school throught the four years of high school! But what about the students who are not invloved. I also know many who really arent that into any activites and they show up to school everyday.Since students must be in school to do well academically, I want to see if the number of activities a students involved in affect the number of times they are absent from school. To see if students who are involved more, are absent less and if students who are not involved are absent often. I surveryed the students at North Olmsted High School from grades 9-12, and I even wrote down if they were male or female.But that did not really make a diffrence in my study since I was not even looking at the diffrence that made in my study. On the survery I put three questions. I first asked if they were male or female. Then I asked them to circle the number of activities they may be in, and that includes sports, academic teams, clubs,etc. Lastly, I asked if they could circle the number of days they missed from school.After plugging in all the data in Minitab, I saw the diffrence between males and females. But I was focusing more on if there the number of activites a student was invloved in affected if they were out from school often. I did a Line Regression test on my data. There is a weak linear realationship with my data. The graphs also show that there is no linear relationship with the number of activites and the number of absences. Even when I took out the outlier, which was 26 absences, there was still no linear relationship. I received 43% of the surverys back. There was alot of non-respone bias with the study so basically 57% of the study was non-resposnse.The confounding varibles could be that the student has some health problems so they could be a reason they may not play any sports or be in any activites that require them to be physical. Then there are students who have a lack of motivation.I can extrapolate my results to a broader population.The population of the study all the schools in NorthEast Ohio and survery students from 9-12th grades.I could have sent out more than 100 surverys to the students, maybe I would have got more back. Then I could have put more questions on the survery, making the study much broader. I may have put a question saying that if the person says no for not being in any student activities, would they more likely be absent as often then they did when they were not in any. Instead of just seeing if absences affect activites, I could have seen if grade or gender affected them instead.
      
                                 
 
 
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