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Quantitative data is Information that can be expressed in numerical terms, counted, or compared on a scale. An example of a quantitative data is: 'the number of 911 calls received in a month'.
Quantitative data is measurable and numerical in nature. In contrast, qualitative data is any data that is not numerical and cannot be measured, only observed. Examples of quantitative data include age, height, year, and population. Examples of qualitative data include color, gender, country, and city.
Qualitative and quantitative data are both 2 important types of data. Qualitative data is data based on observation and description. An easy way to remember this, Qualitative ---> QUALity. Examples of qualitative data are when you record colors, smells, textures, etc... Quantitative data is based on numerical values. An easy way to remember this, Quantitative ---> QUANTity. An example of quantitative data are any type of numerical values.
In statistics numerical data is quantitative rather than qualitative.
Qualitative research involves analysis of data such as words (e.g., from interviews), pictures (e.g., video), or objects (e.g., an artifact). Quantitative research involves analysis of numerical data.