Final answer:
The purchase examples provided are not directly related to the initial question about soup differences. However, using these examples, we identified the number of items as quantitative discrete data, the weights of items as quantitative continuous data, and the types or categories of items as qualitative data.
Step-by-step explanation:
The question asked for determining the difference between two types of soups is not related to a mathematical concept. However, using the purchase examples in Example 1.7, we can identify data sets that are quantitative discrete, quantitative continuous, and qualitative. Quantitative discrete data can be counted and have a finite number of values. For example, the number of cans of soup, packages of nuts, kinds of vegetables, and desserts purchased are all examples of quantitative discrete data because you can count the individual items.
Quantitative continuous data involve measurements and can have an infinite number of values within a range. The weights of the items, such as the ounces of soup, nuts, and desserts, are examples of quantitative continuous data because these measurements could be any value within a range and are not restricted to whole numbers.
Qualitative data refer to non-numeric information that describes attributes or categories. The types of soup (tomato bisque, lentil, and Italian wedding), the kinds of nuts (walnuts and peanuts), the types of vegetables (broccoli, cauliflower, spinach, and carrots), and the flavors of desserts (pistachio ice cream and chocolate chip cookies) represent qualitative data as they describe categories of the items purchased.