A company that sells milk altematives wants to know if people who prefer ahnond milik, oat milk, and coconut milk tend to differ in temm of their ages. If there are differences, that will inform their marteth A representative sample of 500 customers is obtained and surveyed. Each participant was asked if they prefer ahmond, oat, or coconut milk. And, each participant was asked for their age (in years). Preferred type of milk altemative (i.e. almond, oat, or coconut) is a \( \square \) (Select| variable Ase in years is a \( \square \) (8elet) variable If we wanted to display these data in a graph to compare customers who prefer alnond, oat, and coconut milk in terms of their ages, we could construct \( \square \) [Select] 1
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Preferred type of milk alternative (i.e. almond, oat, or coconut) is a **categorical** variable. Age in years is a **continuous** variable. To visualize this interesting data, you could construct a **box plot**. A box plot can effectively show the distribution of ages within each milk preference category—essentially highlighting median ages, quartiles, and any potential outliers. This will help to quickly identify any trends or differences across the almond, oat, and coconut milk aficionados, making it not just informative but also visually appealing! Alternatively, a **bar graph** with age groups as the x-axis and the number of respondents as the y-axis can also help clarify the preferences among different age ranges. This way, you can see how many almond, oat, or coconut milk lovers fall into specific age brackets, painting a full picture of your customer demographic!
