THE STUDY
[population of interest]
For our study we used the population of North Olmsted High School. Each student that is either a freshman, sophmore, junior, or senior was added in the list of students ast the school. For this study we did not use the population of teachers at the school.
To see the list of raw data we collected for our survey you can click on the link <read more>
[sampling method]
To conduct our study we needed the names of all of the students enrolled at North Olmsted High School. Once we obtained a list of the students we put them into Minitab software. With the Minitab software we generated a condenced list of 100 randomly selected students. The list consisted of freshman, sophmores, juniors, and seniors. It also contained both males and females. With the 100 students that were randomy picked we designed a survey to send out for them to answer. The survey asked three questions. 1.) If the student was a male or female. 2.) If the student had a Facebook. and 3.) How the student would rate the importance of Facebook on a scale of 1-10. The surveys were passed out with post-it notes of the students names on them so that the surveys could be turned in annonymously and the students' answers to the questions remained private. To see the graphs of our data you can click on the link below. <read more>
Sample Survey
1. Are you a male or Female?________
2. Do you have a Facebook?________
3 On a scale of 1-10, how important would you rate Facebook in your life? 1 being not important at all and 10 being very important.
1 2 3 4 5 6 7 8 9 10
[testing and results]
We used a Chi-Squared Test because both these variables (student’s sex and how important facebook is to them) came from the same population. This let us make a two by four contingency table to run the Chi Square Test. By running the Chi Square test, we are able to say that there is no association between these two variables.
1) Ho : Student’s sex and how important facebook is to them in their daily life are independent.
2) Ha: Student’s sex and how important facebook is to them in their daily life are not independent.
3) α = 0.05
4) The cell counts are based on independent random samples. Initially, too many expected cell counts were less than 5, so we combined some ratings together. All but three cell expected cell counts are greater than 5 now,but we will keep going on with the test because, the p-value would not be affected enough to change the result.
5)
6) X2 = 4.998 with 3 degrees of freedom
7) P-value= 0.172
8) We fail to reject the null hypothesis at the 0.05
level of significance since the p-value>α.
Therefore, we have insufficient evidence to say that
student’s sex and how important Facebook is to them
in their daily life are not indepen
