5.1 You've administered a survey to 35 people about their favorite ice cream flavors. You've got a bunch of data plugged into your spreadsheet. You summarized the data with some charts and graphs that describe the data and communicate some conclusions (e.g. 37% of people said that vanilla is their favorite flavor*). There are hundreds of ways to visualize data, including data tables, pie charts, line charts, etc. The analysis is limited to your data and that you are not extrapolationg any conclusions about a full population. 5.1.1 Identify what type of statistic in applied in this case. Support your answer. (5) 5.1.2 Why graphic presentation of data is preferred over numeric presentation. (5) 5.2 You continued with the ice cream flavor survey in 5.1 above. You wanted to know the favorite ice cream flavors of everyone in the world. Well, there are about 7 billion people in the world, and it would be impossible to ask every single person about their ice cream preferences. Instead, you tried to sample a representative population of people and then extrapolate your sample results to the entire population. While this process isn't perfect and it is very difficult to avoid errors, it allowed you to make well-reasoned inferences about the population in question. Identify the type of statistic used to describe this case. Support your