Is a two-way table an appropriate way to display the data from the survey? \( \begin{array}{l}\text { (1)) Yes, because any data can be displayed in a two-way table. } \\ \text { (1)) Yes, because the survey produces two types of categorical data. } \\ \text { No, because the survey responses are measurement data and a } \\ \text { (1)) two-way table is for categorical data. } \\ \text { (1) No, because the survey responses all belong to a single category. }\end{array} \)

Two-way tables are a fantastic way to showcase the relationship between two categorical variables. For instance, if you surveyed people about their favorite snacks and their age groups, a two-way table would neatly organize this data, making it simple to spot trends, like whether younger people prefer candy over chips. So, if your survey produces distinct categorical data, then a two-way table is the way to go! On the flip side, using a two-way table for measurement data, like height or weight, wouldn't do the job justice. Imagine trying to fit a square peg in a round hole — it's just not a match! Instead, measurement data is often better represented through other methods, such as histograms or scatter plots, which can highlight the distributions and relationships that a two-way table can't capture. Always think about the type of data you're working with to choose the best display method!