When you’re trying to choose between qualitative and quantitative data in descriptive statistics, think about these situations for using qualitative data:
Understanding Perspectives: This type of data is great when you want to learn about people's feelings, experiences, or opinions. For instance, if you interview customers to see how satisfied they are, you can get valuable information.
Characterizing Groups: Use qualitative data when you want to describe groups based on traits like gender, race, or job roles. These things can’t be easily measured with numbers.
Exploring New Concepts: If you’re looking into a new topic and don’t have much data available, qualitative methods can help you come up with ideas and questions to research.
In short, qualitative data is really useful when you need a deep understanding of a topic instead of just numbers.
When you’re trying to choose between qualitative and quantitative data in descriptive statistics, think about these situations for using qualitative data:
Understanding Perspectives: This type of data is great when you want to learn about people's feelings, experiences, or opinions. For instance, if you interview customers to see how satisfied they are, you can get valuable information.
Characterizing Groups: Use qualitative data when you want to describe groups based on traits like gender, race, or job roles. These things can’t be easily measured with numbers.
Exploring New Concepts: If you’re looking into a new topic and don’t have much data available, qualitative methods can help you come up with ideas and questions to research.
In short, qualitative data is really useful when you need a deep understanding of a topic instead of just numbers.