Statistics In Sociology

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In this experiment, data was collected from 44 participants, which came from an undergraduate statistics lab class at Florida Atlantic University, members of the Palm Beach Hindu Mandir, and friends and relatives of the authors of this study. The sample was 30% male (N = 13) and 70% female (N = 31). Participants ranged in age from 15 to 61 with the average being 28 years (M= 28.09, SD= 14.178). The participants all voluntarily filled out an online survey originally sent out to the class. The authors both participated and gave their own survey responses. In order to get a wider range of results, the survey was also sent to members of a church, and shared on one of the author’s personal social media page. Their responses were factored into…show more content…
Anything over five was not considered for this study. This is because for the purposes of this study, anything over five times a year is considered a significant amount of times to be ill. In this experiment, the main goal is to find a possible correlation between whether a person makes their bed daily or not and around how many times they are sick in a year. We hypothesize that making one’s bed daily promotes good health habits, therefore preventing one from being ill frequently. Due to this, we predict that participants that reportedly make their beds daily will also report fewer instances of being sick per year, with most responses estimated to land around “1-3” times per year. The main independent variable being studied is whether participants make their bed daily, and the dependent variable would be how often they are sick in a year. There are some other independent variables that could impact the relationship, such as gender and age, because they too have an influence on the health of a person. Due to this, we asked participants to report that information as well, so we can take it into account when running data tests and drawing conclusions. Results Our independent variable for this study is whether participants make up their beds every morning. The dependent variable for this study is how many times a year participants get sick. Other independent variables recorded were gender and age. We ran a bivariate correlation
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