# Distinguish between quantitative and qualitative data

Quantitative data is numerical data that is collected and can be measured, counted, or compared. This type of data is often used to find patterns, correlations, or trends in a data set. Examples of quantitative data include things like height, weight, and age.

Qualitative data is non-numerical data that is collected and cannot be measured or counted. This type of data is often used to understand people’s experiences, beliefs, and motivations. Examples of qualitative data include things like interviews, focus group transcripts, and open-ended survey responses.

One way to distinguish between these two types of data is to consider whether the data can be put into a numerical form. If it can, it is likely quantitative data. If it cannot, it is likely qualitative data.

### Quantitative data

Quantitative data is numerical data that is collected and can be measured, counted, or compared. This type of data is often used to find patterns, correlations, or trends in a data set. Examples of quantitative data include things like height, weight, age, income, and test scores.

Quantitative data is typically collected through methods such as surveys, experiments, and observations. It is often analyzed using statistical techniques such as mean, median, mode, and standard deviation.

Quantitative data is often used in fields such as psychology, sociology, and economics to answer research questions and test hypotheses. It can also be used in business, medicine, and other fields to make decisions and predictions based on data

### Qualitative data

Qualitative data is non-numerical data that is collected and cannot be measured or counted. This type of data is often used to understand people’s experiences, beliefs, and motivations. Examples of qualitative data include things like interviews, focus group transcripts, open-ended survey responses, and field notes.

Qualitative data is typically collected through methods such as interviews, focus groups, and observations. It is often analyzed using techniques such as coding, categorization, and themes.

Qualitative data is often used in fields such as psychology, sociology, and anthropology to understand complex social phenomena and to explore people’s experiences and perspectives. It can also be used in education, business, and other fields to gain a deeper understanding of a particular topic or issue.