They are usually trying to 'prove' a theory, and sheer numbers of proof quiets the nay-sayers. So by THAT guideline, we should all eat feces, as untold zillions of flies CAN'T be wrong! :)
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They are methods for analysing statistics in which that data are, respectively, 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.
qualitative
quantitative = numbers qualitative = not numbers (e.g. gender, state, ...)
qualitative is like asking people for their personal experiences and quantitative is data that is baised on numbers, like responses to a survey.basically,quantitative = numbersqualitative = non-numbers