I chose to use a box and whiskers plot for this data because it clearly shows the distribution of responses regarding how many hours high school students spend doing hobbies on weekends. The median (which is at the 4 hrs) marks the midpoint of the dataset, separating 50% of the responses above and 50% below. Each quartile breaks the data down into 25% intervals. Q1 representing 2.6 hrs, Q3 representing 6 hrs while the min is 0.5 hrs of spending time doing hobbies/activities. This type of graph is particularly useful because it easier to compare ranges. I excluded 2 outliers from the dataset. These outliers were responses from individuals who selected "I'm not in high school" option. Including their data could introduce bias, as their schedules are likely different from that of a high school student, some may have more free time (they could be retirees, gap-year students, maybe younger of age) or less (like a full time worker or university student). Including their responses could mess up the median and range. how does this relate to mt hypothesis of If the amount of time (hrs/weekday) students spend watching TV shows/streaming services/YouTube increases, then their time (hrs/weekday) doing hobbies or activities (outside of school) will decrease