Two equal papers, both with a calculator
Statistics is assessed across Unit 1 (100 marks, 120 minutes) and Unit 2 (100 marks, 120 minutes), both calculator papers with a formula sheet printed in the exam booklet. Each question is worth between three and fifteen marks and is built from several linked statistical skills rather than one isolated technique, so read the whole question before you start, because a data classification decision in part (a) often feeds directly into a calculation in part (c). At roughly a mark a minute, an eleven-mark question should take around eleven minutes: if you are still on it after fifteen, move on and come back.
The habit that costs the most marks: numbers without comparison
When a question asks you to compare two data sets, whether from box plots, means, or standard deviations, giving the two numbers side by side without a comparative sentence loses the interpretation mark even if both numbers are correct. Write the comparison out in context: visitors to the museum are on average older, because the median age is higher, not just the two medians listed next to each other. The same discipline applies to standardised z-scores when comparing two distributions: state which value is closer to zero, and explain that this means it is closer to its own distribution's mean, rather than leaving two z-scores sitting unexplained.
Index numbers and quality control: know which reference point applies
Chain-base index numbers measure change relative to the immediately preceding period, not the original base year, and the most common error is calculating a chain-base percentage change against the wrong reference point. On quality control charts, warning lines and action lines are different thresholds with different required responses: a single point beyond the warning line calls for an immediate re-sample, while a point beyond the action line, or two consecutive points beyond the warning line, means stopping the process. Confusing the two thresholds, or giving the wrong corrective action, loses marks even when the point has been plotted correctly.
Comparative pie charts and conditional probability
In comparative pie charts, the radius is not directly proportional to the frequency it represents; the area is. Getting this wrong means calculating the new radius as a simple ratio rather than taking a square root, which throws off every subsequent measurement on the diagram. In conditional probability questions worked from a Venn diagram or a tree diagram, the denominator has to be corrected to the relevant subset, not the whole sample space, and skipping that correction is one of the most common ways a probability question loses its final mark.
CCEA conventions
Statistics is a unitised GCSE like every other CCEA GCSE: at least 40 percent of the assessment must be completed in the series you cash in for a final grade, and each unit can be resat once before then, with the better result normally counting. A stem and leaf diagram without a key, or with unordered leaves, is marked down regardless of whether the underlying data is correct, so build the key into your diagram from the first line you write, not as an afterthought.
The week before
Take three past comparison questions and rewrite every answer as a full comparative sentence rather than two isolated statistics. Redo the chain-base index and quality control questions from the last three series, checking explicitly which reference point or threshold each part is asking about before you calculate. Practise the comparative pie chart radius calculation using the square root, and work through five conditional probability questions checking the denominator in every answer before you finalise it.