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Past paper · The Manchester Grammar School

English Section A past paper 2019

Answers available

A free english past paper from The Manchester Grammar School, linked here from the publisher's own site and published in 2019.

  • English
  • 2019
  • Written answers

Get the paper

Download PDF from manchester-gram.reactfiles.co.ukMark scheme

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Checked
24 October 2026
Response
HTTP 200, application/pdf
File
16 pages, 269 KB
Source page
mgs.org

About this paper

Published by
The Manchester Grammar School
Paper type
Past paper
Subjects
English
Exam board or style
School-set paper
Format
Written answers
Year
2019 (for 2019 entry)
Answers
Separate answer resource
Hosted by
the school (manchester-gram.reactfiles.co.uk)

Skills classified in this paper

Response items mapped to the pinned Smart Cub Learning 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.

  • Taxonomy skill boundary review
  • Low-confidence skill mapping
  • Elevated medium-confidence mapping rate
  • Catalog subject disagreement
Easy questions
8
Medium questions
26
Hard questions
6

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 English Section A past paper 2019
SubjectSkill tagConceptClassificationWithin-subject shareItems carrying tagEasy / medium / hard weighted items
MathsCompare and order numbersNumberProvisional analysis7%2 of 100 / 0.7 / 0
MathsCompare table valuesData handlingProvisional analysis49%7 of 101.7 / 2 / 1.2
MathsRead a table cellData handlingProvisional analysis36%5 of 101.3 / 2.3 / 0
MathsSolve a multi-step problemProblem solvingProvisional analysis8%2 of 100 / 0 / 0.8
EnglishClassify a word in contextGrammarProvisional analysis20%3 of 151 / 2 / 0
EnglishIdentify a sound deviceLanguage devicesProvisional analysis9.3%2 of 150.4 / 1 / 0
EnglishIdentify writer viewpointReading comprehensionProvisional analysis2%1 of 150 / 0 / 0.3
EnglishInfer a character stateReading comprehensionProvisional analysis6.7%2 of 150 / 0 / 1
EnglishInfer implicit meaningReading comprehensionProvisional analysis14%4 of 150.5 / 0.9 / 0.7
EnglishInterpret a word in contextReading comprehensionProvisional analysis10%2 of 150 / 1.5 / 0
EnglishMark a sentence boundaryPunctuationProvisional analysis6.7%1 of 151 / 0 / 0
EnglishPunctuate direct speechPunctuationProvisional analysis6.7%1 of 150 / 1 / 0
EnglishPunctuate parenthesisPunctuationProvisional analysis6.7%1 of 151 / 0 / 0
EnglishResolve an irregular spellingSpellingProvisional analysis4%1 of 150.6 / 0 / 0
EnglishRetrieve an explicit detailReading comprehensionProvisional analysis7.3%2 of 150.5 / 0.6 / 0
EnglishUse capital lettersPunctuationProvisional analysis6.7%1 of 150 / 1 / 0
Verbal reasoningApply a letter shiftCodesProvisional taxonomy4%2 of 150 / 0.3 / 0.3
Verbal reasoningComplete a verbal context gapLanguage reasoningProvisional taxonomy8%3 of 150 / 1.2 / 0
Verbal reasoningComplete a word with a letterWord formationProvisional taxonomy12%3 of 150 / 1.8 / 0
Verbal reasoningContinue a letter or number sequenceSymbolic sequencesProvisional taxonomy13.3%3 of 150 / 0.7 / 1.3
Verbal reasoningFind a hidden wordWord formationProvisional taxonomy33.3%5 of 150 / 5 / 0
Verbal reasoningFollow alternating code rulesCodesProvisional taxonomy2.7%1 of 150 / 0 / 0.4
Verbal reasoningMove a letter between wordsWord formationProvisional taxonomy26.7%4 of 150 / 4 / 0

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

  • The Manchester Grammar School

    Manchester, Greater Manchester, North West England. School website

Subject-based preparation

These links are broad preparation based only on the catalog subject labels: English. 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 The Manchester Grammar School paper?

Yes. This is a paper from a live The Manchester Grammar School sitting, linked from its own site.

Are the answers included?

The Manchester Grammar School publishes a separate answer resource, linked from this page. Check its title and instructions against the question paper.

Where does the download come from?

The PDF is served by manchester-gram.reactfiles.co.uk. Smart Cub Learning links to it and does not host a copy. The link was last checked on 24 October 2026 and returned HTTP 200.

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