Conclusion:
In our first test, we wanted to determine if the true proportion of
iPhone users at North Olmsted High School is greater than the true
proportion of Android users at North Olmsted High School. After
conducting a two-proportion z test based on our sample size of
123, we received a p-value of 0.03889. Because the p-value was
less than the level of significance, we rejected the null
hypothesis and concluded that THE TRUE PROPORTION OF IPHONE USERS
AT NORTH OLMSTED HIGH SCHOOL IS GREATER THAN THE TRUE PROPORTION
OF ANDROID USERS AT NORTH OLMSTED HIGH SCHOOL.
In our second test, we wanted to determine if there was an association between gender and phone type at North Olmsted High School. After conducting a chi-squared test based on our sample matrix and ensuring that the expected matrix had counts greater than 5, we received a p-value of 0.31966. Because our p-value was greater than the alpha, we failed to reject the null hypothesis and concluded that THERE IS NOT SUFFICIENT EVIDENCE TO SUGGEST THAT THERE IS A RELATIONSHIP BETWEEN GENDER AND PHONE TYPE AT NORTH OLMSTED HIGH SCHOOL.
In our second test, we wanted to determine if there was an association between gender and phone type at North Olmsted High School. After conducting a chi-squared test based on our sample matrix and ensuring that the expected matrix had counts greater than 5, we received a p-value of 0.31966. Because our p-value was greater than the alpha, we failed to reject the null hypothesis and concluded that THERE IS NOT SUFFICIENT EVIDENCE TO SUGGEST THAT THERE IS A RELATIONSHIP BETWEEN GENDER AND PHONE TYPE AT NORTH OLMSTED HIGH SCHOOL.