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Well, honey, to screen your quantitative variables in SPSS, you can use procedures like Descriptives, Frequencies, and Explore. These tools will give you the lowdown on your data, like checking for outliers, skewness, and kurtosis. So, go ahead and dive into those procedures like a boss and get your data all cleaned up!
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.
Any kind of graph can be used for quantitative data.
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'.
The main difference between qualititative and quantitative data is the numeric information. In quliatative data we only rely on information from the field which is not numeric and the quantitative data contains numerica data. That's why quantitative data is also know as mathematic dats.