Final answer:
The student's question involves matching data types to Python data structures, such as integers (int), floating-point numbers (float), and strings (str). Additionally, lists and dictionaries involve contained types, which depend on the context of the data being stored.
Step-by-step explanation:
The student is asked to match informational measurements to Python data types. Python comprises several data types for organizing various types of data, whether they're numbers, text, or more complex forms of data involving collections of items. Below are the Python data types that match the corresponding examples given in the question.
- the number of pairs of shoes you own → int (Integer)
- the type of car you drive → str (String)
- the distance from your home to the nearest grocery store → float (Float)
- the number of classes you take per school year → int (Integer)
- the type of calculator you use → str (String)
- weights of sumo wrestlers → float or int (depending on whether weights are measured with decimals or as whole numbers)
- number of correct answers on a quiz → int (Integer)
- IQ scores → float or int (depends on whether IQ scores are represented with decimals)
For parts 5 and 6 from the instructions:
- list of → 5. list of [Insert type here] (The type contained in the list would depend on the specific information being stored. For instance, a list of IQ scores would be a list of float or list of int. If holding types of cars, it would be a list of str. The contained type should be consistent with the type of data in the list.)
- dictionary of → 6. dictionary of [key type] onto [value type] (The key and value types would depend on the context. For example, if mapping car models to the type of car, it could be a dictionary of str onto str. For mapping players to their weights, it could be a dictionary of str onto float.)