Collecting Data and Stem-and-Leaf Diagrams
Data is qualitative (words) or quantitative (numbers); numbers are discrete (counted) or continuous (measured). A fair sample represents the whole population without bias. Frequency tables and stem-and-leaf diagrams organise raw data so you can read off the median, mode and range.
Learning objectives
- Classify data as qualitative or quantitative, discrete or continuous.
- Recognise biased samples and questions.
- Build and read frequency tables and grouped tables.
- Draw and interpret ordered stem-and-leaf diagrams with a key.
To find out how much exercise people do, you ask people leaving a gym. What's wrong with this sample?
Core idea
A stem-and-leaf diagram lists every value in order and shows the shape of the data, like a bar chart turned on its side. Nothing is lost, so medians and ranges can be read straight off.
Ordered leaves with a key. Median position . Data types: qualitative/quantitative; discrete/continuous.
1. Reading a stem-and-leaf
Median and range from the diagram.
- Goal
- Two values.
- Strategy
- Position .
- Average of the two middle values.
- Largest − smallest.
- Qualitative (words) vs quantitative (numbers).
- Discrete (counted) vs continuous (measured).
Is shoe size discrete or continuous?
Summary
- Ordered leaves with a key.
- Read median and range directly.
- Discrete
- Only certain values.
- Continuous
- Any value in a range.
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