Sampling

         My population of interest was the North Olmsted High School staff and students. The samples were randomly selected from a combined staff and student list divided only by gender. Minitab then selected 60 guys from the guy list and 60 girls from the girl list. After the 120 names were selected, I went down to the Guidance Office and I went through a database of class schedules so I could distribute the surveys. I first checked to see if the student had a studyhall. About half of the students did not because they were seniors or participating in CCP or Polaris. If the student did not have one, I chose a flexible teacher to send it to. After the surveys were marked with a sending location, I gave them to Ms. Caso so she could place them in the designated teacher mailbox.

The Survey

         The header of the survey contained a spot where the sample can put his or her gender and grade(or a ‘T’ if they were a teacher). The body of the survey had 6 questions about reading.

Survey

Significance Test

The appropriate statistical test for my data is a Chi-Square Test for Homogeneity n because my question of interest is comparing a table of data.

1) Hm = amount of males reading from a genre

Fm = amount of females reading from a genre

2) The null hypothesis is girls and boys read different genres in the same amounts

3) The alternative hypothesis is that girls and boys read genres at different amounts

4) α = .05

5) χ2 = ∑(O−E)2/E

6) Samples are independent and random. Almost the expected cell counts are large enough because they are larger than 5. Male blog readers is less than 5 but its extremely close so I'll round

data

7) p = 0.455

Desc

Graphs

obs exp

Raw Data

data