Statistics · Data presentation
Chapter 1 · 3
The idea
Types of data and grouped frequency
Qualitative vs quantitative data, and within quantitative the split between discrete and continuous; how continuous data is grouped into classes, and how to read off the class boundaries, class width and midpoint you need before you can draw a histogram or estimate an average.
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Statistics · Data presentation
Types of data and grouped frequency
Qualitative vs quantitative data, and within quantitative the split between discrete and continuous; how continuous data is grouped into classes, and how to read off the class boundaries, class width and midpoint you need before you can draw a histogram or estimate an average.
Why it works
What kind of data is it?
Before you can summarise or draw data you have to know what kind it is, because that decides which tools are allowed.Qualitative vs quantitative. Quantitative data is numerical — heights, times, number of goals. Qualitative (or categorical) data describes a quality with no numerical value — eye colour, type of car, cardinal wind direction (N, SE, …). You can count how many fall in each category, but you can't take a mean of "north".
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