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Chat with our AI personalities
Quantitative, if you're counting the numbers of males and females for any survey or question. It is qualitive if you are using it in the context "Jim is a male." That doesn't tell you how many. Instead it tells you what.
I can't tell you which one is most reliable because data (or information) can be collected in so many different situations to answer different questions. If I am conducting a very scientific experiment, for example I want to know if a type of tomato grows better in an acid soil, then I need to collect and analyze quantitative data.But in many fields, both types of data are needed. Sociology and psychology studies use qualitative data. For example, I want to know if people who have lived in hot climates for long periods of time, are more comfortable with heat and humidity. So I ask people if they are feeling uncomfortable (qualitative data), how long they have lived in a hot climate (quantitative data) , and also recorded the heat and humidity (quantitative data).- See related link. From the third link, the author opines:"What qualitative methods (e.g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description."
the midpoint of the data set
I think it means that our data includes outliers.
The easiest way to tell if data is normally distributed is to plot the data.line plot apex