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 data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
Go halfway between the two. If your two medians are, say, 27 and 29, the median is 28 :)
Any kind of graph can be used for quantitative data.
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 data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.Any data consisting of two sets of quantitative measures on a set of objects. Although the horizontal axis is often used for categories, the graph is then not a Cartesian graph.
don't you mean quantitative data and qualitative data?
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.
Numerical data is quantitative research
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
The length of a movie is quantitative data.
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?
Go halfway between the two. If your two medians are, say, 27 and 29, the median is 28 :)
Any kind of graph can be used for quantitative data.
Quantitative data is quantity - how much. Qualitative data is quality - is it good? what is it like?