Question

classify each example of data as qualitative (categorical) or quantitative (measurement). qualitative (categorical) quantitative (measurement) height, temperature, grade point average, phone numbers, song length, cups of coffee sold, favorite color, zip codes

Explanation:

To classify data as qualitative (categorical) or quantitative (measurement), we use the definitions:

• Qualitative data is non - numerical and is used to categorize or describe.
• Quantitative data is numerical and represents a measurement or count.

Step 1: Analyze each data type

• Height: It is a numerical value that measures a physical quantity, so it is quantitative.
• Temperature: It is a numerical measurement of heat, so it is quantitative.
• Grade point average: It is a numerical value representing academic performance, so it is quantitative.
• Phone numbers: They are used to identify a phone line and are categorical (they don't represent a measurement), so they are qualitative.
• Song length: It is a numerical measurement of time, so it is quantitative.
• Cups of coffee sold: It is a numerical count, so it is quantitative.
• Favorite color: It is a non - numerical description of a preference, so it is qualitative.
• Zip codes: They are used to categorize locations and are categorical (not a measurement), so they are qualitative.

Step 2: Categorize

• Qualitative (Categorical): phone numbers, favorite color, zip codes
• Quantitative (Measurement): height, temperature, grade point average, song length, cups of coffee sold

Answer:

• Qualitative (Categorical): phone numbers, favorite color, zip codes
• Quantitative (Measurement): height, temperature, grade point average, song length, cups of coffee sold