9.1.11 - Descriptive statistics

9.1.11 Descriptive statistics (List A):; measures of central tendency (mean, median, mode), frequency tables, summary tables, graphs (bar chart, histogram, scatter diagram), normal distribution, skewed distribution, sense checking data, measures of dispersion (range, standard deviation) and percentages; produce, handle, interpret data; draw comparisons including the mean of two sets of data.; Learners do not need to know formulae but are expected to be competent in mathematical steps.

Use - descriptive statistics to connect the rule to the data and decision in the question.

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

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

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