Gender Maturity Among Teens

Abstract

 

The topic of our study was conducted to see if the usual saying of girls are more mature than guys is actually true. We started our project by browsing through the internet and using different search engines to see if any other similar studies were conducted. Apparently, there weren’t any studies conducted on our topic but we used similar studies as a way of supporting our study. We created a survey that touched on most of the maturity levels and different personalities in our high school. We used MINITAB’s random number generator to generate a random list of males and females that attended North Olmsted High School full-time or part-time. We generated the names of 75 males and 75 females using the list of all the names of student attending our school. We established a key to grade the level of maturity of each person. We entered all of our collected data into MINITAB and created graphs and calculated some descriptive statistics. Our study could have been conducted using a 2-sample t-test or a Chi-Square test, but we decided on using a 2-sample t-test since it will actually compare the numerical values of the surveys easily without using the different categories such as in a Chi-Square test.

 The 2-sample t-test provided that the p-value is 0.033 which is smaller than our 0.05 level of significance. This led to the rejection of the null hypothesis which stated that male and female maturity levels are equal. Therefore, there is sufficient evidence to support the claim that the maturity level of males and females attending North Olmsted High School differ. However, even though we came to such a conclusion, some weaknesses were present in our study. For instance, we did not receive all of the surveys we sent out back which might have led to a non-response bias. Also, our samples could have been larger and our survey could have been longer and more concise, but we predicted that the teenagers at our high school would not like to take a long and detailed survey seriously. Our finding could be extrapolated to all of the high schools throughout the state of Ohio and states that are socially and economically similar to the state of Ohio