1.2.6 - Quantitative data analysis

1.2.6 (List A) Analysis of quantitative data: calculating measures of central tendency (mean, median, mode), data tables (frequency tables and summary tables), graphical presentation (bar chart, histogram), measures of dispersion (range and standard deviation), percentages, ratios, fractions.

Use - quantitative data analysis to connect the rule to the data and decision in the question.

This matters because - quantitative data analysis determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply - quantitative data analysis to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: - Quantitative data analysis is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.