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Within statistical analysis Quantitative data is numerical. It often measures the the subject studied in mathematical terms.
Qualitative data is descriptive. This data describes the subject being studied in words or text. Such as how something looks or feels. How it interacts etc.
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Difference between qualitative and quantitative?
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.
Difference between quantitative and quantitative data?
If you mean qualitative and quantitative data, then data would be dealing with numbers to describe a statistical analysis whereas qualitative represents things that cannot be expressed as numbers such as color.
What is the differnce between quantitative data and qualitative data?
Quantitative data involves numbers, either measurable or countable values. Qualitative data involves something descriptive like color or shape.
What is the major distinction between quantitative and qualitative data?
Quantitative data describes the measurable attributes of the subject. Qualitative data describes the remaining non-measurable but perceivable attributes of the subject
What is Qualitative and quantitative methods?
They are methods for analysing statistics in which that data are, respectively, qualitative and quantitative.
