# Social Media Usage

### by: Shelly, Jannette, Briana, and Arly

We sent out a brief survey to both males and females of ages 11-38 years old to see how active they are on social media. This topic is important because nowadays many teens and adults spend a little too much time using social networks and their phones. Yet, it is important to make people realize that they are spending a little too much time online and not in the “real world".

# Prior research

Women are more active than men when it comes to social networks. According to Government Technology, “While women are the more active social media users overall, men outpace women in their use of platforms like YouTube, Google+ and LinkedIn.”

# Data Shows:

The data collected on the ages of males and females that use social media is skewed. So we decided to use a box plot to represent our data. The data collected shows the typical age of males and females that use social media. We saw that the average age of a male user is 24. Meanwhile, the average female user is 14. This statistic shows that a female is more active on social media at an earlier age than a male. The data is skewed so the typical value used to describe the data is the median (the middle value). With this data collected we were able to figure out the median age of male and female users of social media websites.

We decided to create a conditional relative frequency table to show the relationship between the number of times the average male and female user check their social media networks. Some of the data collected were shocking. Again just like before women are more active on social media then men. It was shocking that some women reported that they check their social media 91-100 times a day! Meanwhile, men are not that active when checking social media. According to the data collected men only check their social media 0-10 times. This is a crazy comparison compared to how many times men check social media.

We decided to create a scatterplot to determine a relationship between two variables. In this case the variables being: age (x-variable) and the number of times a social media is being checked by a user (y-variable). We also created a residual plot to tell us if the data is linear or non-linear. In the first residual plot, the data is scattered and the outliers are still present. Because the data is scattered, this is showing us that our data is linear. In the second residual and scatter plot, we got rid of the outliers and discovered that when we did that, the data becomes more linear.