Mean, median, mode: three averages
Mean: the arithmetic average — add the scores and divide by how many there are; it uses every value, so one extreme score drags it from the bulk of the data. Median: the middle value once scores are in rank order; with an even number, take the mean of the middle two, so it is fairer when one score is far from the rest. Mode: the most frequent score; it can be bimodal or absent, and is the only measure for named categories.
Range is the only measure of dispersion
Range: subtract the lowest score from the highest. It measures dispersion — how spread out the scores are, not where their centre lies. Two data sets can share the same mean, median and mode yet look completely different, so quote a central-tendency measure and the range together. The range is quick, but built from only two values, the extremes; one unusual participant can make it look enormous while the rest stay bunched.
Normal distribution: know its characteristics
A normal distribution is the bell-shaped pattern many psychological measures produce when a large sample is plotted. The characteristics you need: symmetrical about its centre; bell-shaped, rising to a single peak; the mean, median and mode all together at the centre; most scores close to the middle; and few extreme scores, so it tails off at both ends. That is the whole requirement — statement 11.2.2h asks only that you know the characteristics, never a calculation.
Drawn from real examiner reports.
Median: not ranked, or not halved
The median is a two-step calculation and candidates skip step one. Rank the scores first — that alone is creditworthy working even if the final value is wrong. Then, with an even number, add the middle two and divide by 2. The errors: adding the middle two but not halving, dropping a data point so an even set looks odd, and picking one middle value instead of averaging.
Median errors are described in June 2023 Paper 2 Q3b and June 2024 Paper 2 Q5e, where rank ordering alone was worth 1 of the 2 marks. Mean/median/mode confusion is reported in November 2021 Paper 2 Q04 and June 2023 Paper 2 Q3d.
Ratios and fractions must be simplified
This is the definition trap. A ratio or fraction is not finished until it is in simplest form, because the scheme states that value and nothing else scores. An unsimplified ratio like 11:11 must reduce to 1:1; where the answer is one half, two quarters scores zero. Order matters: for the ratio of A to B, writing B to A scores zero. Cancel by the highest common factor.
Simplification is required in November 2021 Paper 2 Q02c(i) (11:11 to 1:1) and June 2022 Paper 2 Q1c, where unsimplified ratios cost a mark. June 2024 Paper 2 Q4b scored an unsimplified fraction zero, and June 2024 Paper 2 Q3b penalised the reversed ratio order.
Percentage decrease and rounding slips
Calculations are usually a strength, but two stay weak. Percentage decrease: divide the change by the original value, then multiply by 100, and label it a decrease — dividing by the new value is the classic slip. Definitive answers: where the scheme states one figure, close does not score. A correct total still earns a mark even when the percentage is wrong, so show it.
Percentage decrease is flagged as the weak case in June 2019 Paper 2 Q1d(i). June 2024 Paper 2 Q4a records that where the scheme was definitive (75%) nothing else scored. Partial credit for a correct total is noted in June 2023 Paper 2 Q1c.
Mean: forgetting to divide by the count
The mean is the total of the scores divided by how many there are, and the reported failure is finding the total and then stopping. Add every score, then divide by the count; the total alone is not the mean. Count the scores before dividing, and obey any "to 2 decimal places" instruction — decimal places are not significant figures.
That a mean was not divided by the total count is reported in November 2021 Paper 2 Q03a; obeying "to 2 decimal places" and rounding correctly is reported in November 2020 Paper 2 Q02a. Significant figures confused with decimal places is reported in November 2020 Paper 2 Q03e.
Range: quoting a score, not the difference
The range is the highest score minus the lowest — a single number. Two errors recur: quoting the highest score itself instead of the subtraction, and writing the extremes as a pair such as "17 to 41" rather than doing the sum. Always subtract: highest minus lowest. It tells you how spread out the scores are, not where their centre lies, from those two values alone.
Mode is a score, not how often it occurs
The mode is the most common score in the data — the value itself, not how many times it occurs. If 6 appears three times, more than any other value, the mode is 6, not 3. Two more slips: reading off the middle score (the median) or the largest instead of the most frequent, and assuming there is exactly one mode when a set can be bimodal or have none.
The range is not where most scores lie
The range is often misread as a statement about the typical participant — "most people scored around the middle". It does not: it uses only the highest and lowest score. So one unusual participant can inflate the range while the rest stay clustered, and two groups can share a range yet be distributed completely differently. With one extreme score, the median beats the mean.
Normal distribution is described in words
Because 11.2.2 is the calculations statement, candidates assume the normal distribution sub-point must be a calculation too. It is not: 11.2.2h asks you to know the characteristics, answered in words — symmetrical, bell-shaped, mean, median and mode together at the centre, most scores near the middle, few extreme scores. A skewed, one-sided distribution is not normal.
Show working — it is your only partial credit
Examiners read the answer line first: a correct answer scores full marks with or without working, read only when it is wrong — exactly when it rescues you. So show the quantity the method needs, then the final value with its unit or sign.
Estimate: round at the start
For an estimate the discipline is different and heavily penalised: round the inputs first, then calculate. Candidates who compute the exact value and round at the end have not estimated and lose the mark. Show the 1-significant-figure values you used — they earn the mark.
Compare needs connectives
If the command is "compare" — say the median against the mode — link them with connectives such as whereas and however. Two definitions side by side count only as an implicit comparison and lose the second mark. State a similarity and a difference explicitly.
A conclusion is not a restated result
A conclusion is an inference; restating a figure from the table is only a result and scores nothing. Say what the pattern shows overall, then justify it by quoting the figures. Where a conclusion is supplied, keep the answer comparative and about the overall pattern.
Mean — the arithmetic average: the total of all the scores divided by the number of scores.
Median — the middle score once the values are in rank order. With an even number of scores, the mean of the middle two.
Mode — the most frequently occurring score. Data can be bimodal (two modes) or have no mode at all.
Range — the highest score minus the lowest score. It is a measure of dispersion (spread), and it is the only one in this course.
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