Final answer:
Qualitative data contains nonnumerical information such as names, dates, and geographical data; it's subjective and describes characteristics such as language, feelings, and impressions. It contrasts with quantitative data, which are numerical and result from counting or measuring.
Step-by-step explanation:
Information that contains qualitative values such as names, dates, and geographical data is known as qualitative data. Qualitative data are nonnumerical and may include language, feelings, or impressions.
Examples include a person's hair color, which might be described with terms such as black, blonde, or red; blood types like AB+ or O-; and the make and model of a car someone drives.
This type of data is subjective and is often collected through observations or open-ended survey questions where responses can vary widely and provide insight into people's beliefs, opinions, and behaviors.
In contrast, quantitative data are numeric and result from counting or measuring, such as heartbeat rates or the number of people living in a town.
Qualitative data, being inherently subjective, can be challenging to quantify and analyze statistically compared to quantitative data, which is better suited for mathematical evaluation.