Students engage in exercises that involve creating stem-and-leaf plots from given data sets. They learn how to organize data by splitting values into stems and leaves, constructing plots that display data distribution clearly. These tasks help students develop the ability to visualize and interpret numerical data, enhancing their skills in data analysis and statistical representation.

These questions are designed to enhance students' understanding of stem-and-leaf plots. Students delve into the components and structure of these plots, learning how they represent data frequency and distribution. They practice reading and interpreting stem-and-leaf plots, appreciating how this technique retains the original data while offering a concise visual summary.

Students use their understanding of stem-and-leaf plots to compare different data sets. They work on exercises that involve analysing and contrasting the distribution, central tendency, and spread of various data sets using these plots. These activities demonstrate how stem-and-leaf plots can be utilised to make meaningful comparisons, aiding in data-driven decision-making across fields such as research, business, and education.