Purpose: Social media is becoming a big part in the world
today. In the past couple decades, there has been many technological
advances in computers, cell phones, internet, etc. I am an avid user of
social media, using for many hours a day. I was always curious which
gender spends more time on social media. Females are considered more
social in the real world than males; I wondered if that was also true
online. So the question is, Do females spend more time on social media
than men?
Abstract: For my study, I wanted to find out if women spend
more time on social media than men. Women are known to be more social
and talkative in real life so I wanted to see if that applied to social
media as well. I first searched the internet to see if other studies had
been conducted on this topic. Most of the studies I found concluded that
women did, indeed, spend more time on social media than men. This
supported my null hypothesis. I, then, used minitab to randomly select
150 students from the current list of North Olmsted High School
students. After that, I send out surveys to the 150 students asking what
their gender was and how many hours they spend on social media per day.
I only received back 107 surveys, which lead to nonresponse bias. I am
unsure how many people were actually truthful when putting down the
number of hours they spend on social media per day, leading to another
bias. After putting the results into minitab, I used the 2 sample t-test
to calculate the p-value. I found that the p-value was smaller than
alpha so I failed to reject the null hypothesis at the 0.05 level of
significance since the p-value is less than α. Therefore, there is not
sufficient evidence to say the number of hours females use social media
is greater than the number of hours males use social media at North
Olmsted High School. My results actually contradicted what I found in my
background. Since this study
was only of North Olmsted High School students, I would not recommend
extrapolating the data. For further studies done on this topic, I would
advise using a larger, more diverse sample and to reduce nonresponse
bias, there should be a follow up on the surveys.
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