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Sample paper · North London Collegiate School

Maths sample paper

No answers published

A free maths sample paper from North London Collegiate School, linked here from the publisher's own site and published in 2023.

  • Maths
  • 2023
  • Written answers

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Download PDF from nlcs.org.uk

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Linked, not hosted

Trace Learn does not store or serve this PDF. The download comes from the school at nlcs.org.uk, and the paper stays the copyright of North London Collegiate School.

Checked
28 August 2026
Response
HTTP 200, application/pdf
File
15 pages, 269 KB
Source page
nlcs.org.uk

About this paper

Published by
North London Collegiate School
Paper type
Sample paper
Subjects
Maths
Exam board or style
School-set paper
Format
Written answers
Year
2023
Answers
Not published
Hosted by
the school (nlcs.org.uk)
Cataloguer's note. Linked as 'Maths Sample Paper'. Header reads '11+ Examination, Time allowed: 1 hour 15 minutes'.

Skills classified in this paper

Response items mapped to the pinned Trace Learn skill graph. Multi-skill questions split their weight between tags.

This paper-level analysis needs review

The document reached terminal classification, but the response-item analysis still carries one or more review conditions. Its granular tags are visible as uncertain paper-level evidence and are never used as trend evidence or for rising and falling signals.

  • Elevated medium-confidence mapping rate
Easy questions
6
Medium questions
18
Hard questions
16

Paper-level difficulty counts include every classified response item, including creative-writing prompts. Sitting-year difficulty trends compare objective response items only, so those totals use a different, explicitly labelled denominator.

Published skill tags for Maths sample paper
SubjectSkill tagConceptClassificationWithin-subject shareItems carrying tagEasy / medium / hard weighted items
MathsAdd whole numbers or decimalsNumberProvisional analysis5%2 of 401 / 1 / 0
MathsCalculate a durationMeasurementProvisional analysis0.5%1 of 400 / 0 / 0.2
MathsCalculate a whole-number operationNumberProvisional analysis1%1 of 400 / 0.4 / 0
MathsCalculate an arithmetic meanData handlingProvisional analysis1.5%1 of 400 / 0.6 / 0
MathsCalculate areaMeasurementProvisional analysis2.5%1 of 400 / 0 / 1
MathsCalculate perimeterMeasurementProvisional analysis2.5%1 of 400 / 0 / 1
MathsCompare and order numbersNumberProvisional analysis1.8%1 of 400 / 0.7 / 0
MathsConvert fraction and decimalFractions, decimals, and percentagesProvisional analysis3.3%2 of 400 / 1.3 / 0
MathsDivide whole numbers or decimalsNumberProvisional analysis3.8%2 of 401 / 0.5 / 0
MathsFind a fraction of a quantityFractions, decimals, and percentagesProvisional analysis0.5%1 of 400 / 0 / 0.2
MathsFind a percentage of a quantityFractions, decimals, and percentagesProvisional analysis3%2 of 400 / 1.2 / 0
MathsLocate an equivalent valueFractions, decimals, and percentagesProvisional analysis2.5%1 of 400 / 1 / 0
MathsMultiply whole numbers or decimalsNumberProvisional analysis2.5%1 of 401 / 0 / 0
MathsRead place valueNumberProvisional analysis0.5%1 of 400 / 0 / 0.2
MathsRecognise equivalent fractionsFractions, decimals, and percentagesProvisional analysis7.5%3 of 400 / 3 / 0
MathsReflect a shapeGeometryProvisional analysis2.5%1 of 401 / 0 / 0
MathsScale by a power of tenNumberProvisional analysis2.5%1 of 400 / 1 / 0
MathsScale quantities in a ratioRatio and proportionProvisional analysis12.5%5 of 401 / 3 / 1
MathsSolve a multi-step problemProblem solvingProvisional analysis35.5%15 of 400 / 2.8 / 11.4
MathsSolve an angle relationGeometryProvisional analysis2.5%1 of 400 / 1 / 0
MathsSubtract whole numbers or decimalsNumberProvisional analysis3.8%2 of 401 / 0.5 / 0
MathsTrack cube faces from a netGeometryProvisional analysis2.5%1 of 400 / 0 / 1

Classification coverage: 100% across 40 classified response items from 40 detected. Ratios describe classified items only, so any uncovered detected items are not silently treated as another skill. This profile is automated and is not represented as independent human review. Confirmed, provisional taxonomy, and provisional analysis labels show which claims can safely contribute to trend evidence.

Schools this paper is for

Subject-based preparation

These links are broad preparation based only on the catalog subject labels: Maths. They do not identify skills tested by this paper. An exact skill breakdown requires a published question-level analysis of the paper.

Questions families ask

Is this a real North London Collegiate School paper?

This is a sample paper from North London Collegiate School, linked from its own site.

Are the answers included?

No. No free answer document is linked from nlcs.org.uk for this paper, so it works best for timing and format practice rather than self-marking.

Where does the download come from?

The PDF is served by nlcs.org.uk. Trace Learn links to it and does not host a copy. The link was last checked on 28 August 2026 and returned HTTP 200.

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