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MATHEMATICS-M1-CALCULUS-AND-STATISTICS · HKDSE

MATHEMATICS-M1-CALCULUS-AND-STATISTICS/21

Paper 2

Mathematics M1 Calculus and Statistics · 2023 2023 · Variant 1

Relative difficulty

Demanding · 3.8/5

Analysis source: Hong Kong Examinations and Assessment Authority (HKEAA)

Analysis aligned to the official syllabus and assessment design.

Relative difficulty

3.8 / 5

Total marks

100

Duration

150 min

Most tested topic

Applications of differentiation

Cohort performance

Session statistics from official examination reports

Total marks

100

Duration

150 min

Session difficulty

3.8 / 5

Level 5**

~91% of max

Level 5*

~76% of max

Level 5

~65% of max

Key examiner messages

Top priorities from the principal examiner before you revise

1

This year's M1 paper sits at a solid Grade 4 difficulty. While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical e

2

This year's M1 paper sits at a solid Grade 4 difficulty.

3

While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical explanations.

Question difficulty map

How candidates performed on each question in this series

No data available in official reports

Assessment objectives

Skill and AO weighting from official examiner commentary

Algebraic Manipulation8
Statistical Modeling6
Logical Justification4
Calculus Application2

Skill weighting

Shows the skill mix this paper tested most heavily.

Algebraic ManipulationAlgebraicManipulationStatistical ModelingStatisticalModelingLogical JustificationLogicalJustificationCalculus ApplicationCalculusApplication
SkillWeightShare
  • Algebraic Manipulation

    Weight: 8100%
  • Statistical Modeling

    Weight: 675%
  • Logical Justification

    Weight: 450%
  • Calculus Application

    Weight: 225%

Method marks watchlist

Where working, steps, or method marks were commonly lost

No data available in official reports

Recurring mistakes across years

Themes examiners flag in multiple recent sessions for this subject

No data available in official reports

Question choice intelligence

Mean scores and popularity for optional questions (HKDSE electives)

No data available in official reports

Level exemplars

What candidate scripts at each grade level looked like

No data available in official reports

Grade & admission context

How marks relate to grade thresholds and entry standards

Reporting source

HKEAA Subject Examination Report — comments on candidates’ performance with marking schemes

Level 5**

Outstanding — competitive JUPAS programmes (medicine, law, top faculties)

Level 5*

Excellent — strong JUPAS profile for selective programmes

Level 5

Good — meets most university entrance requirements

Level 4

Satisfactory — foundation programmes or less selective routes

Level 3

Pass threshold for many sub-degree and vocational pathways

Admission context

Levels feed JUPAS and non-JUPAS university applications; 5** and 5* are most selective

Deep insights

What top candidates did

Techniques and approaches examiners rewarded in this series

No data available in official reports

Command word playbook

How to match each command word to the expected response style

FindFrequency: 14

Match the expected response style for “Find” questions.

ExplainFrequency: 3

Give reasons and link mechanism to outcome; each point needs a because/so chain.

DetermineFrequency: 2

Match the expected response style for “Determine” questions.

ExpressFrequency: 3

Match the expected response style for “Express” questions.

SolveFrequency: 1

Match the expected response style for “Solve” questions.

Time traps

Sections where candidates spent disproportionate time relative to marks

Section A70m / 50 marks

Min per mark: 1.4

Syllabus traceability

Topics linked to questions and mark weighting in this session

Applications of differentiation

18 marks this session

Conditional probability and Bayes’ theorem

13 marks this session

Definite integration and its applications

13 marks this session

MCQ trap analytics

Commonly chosen wrong options from examiner commentary

No data available in official reports

Topic heatmap across years

Mark concentration by topic and exam year for this subject

Mark intensity

LowHigh
Topic
2021
2022
2023
Σ

Applications of differentiation

21
16
18
55

Conditional probability and Bayes’ theorem

19
13
32

The Poisson distribution

14
14

Definite integration and its applications

13
13

Approximation of definite integrals using the trapezoidal rule

11
11

Applications of the normal distribution

11
11

Applications of the binomial and the Poisson distributions

9
9

Paper comparison

Marks and duration breakdown across papers in this session

2023 Mathematics EP (M1):

100 marks150 min

Marks you can still earn

Where valid approaches outside the mark scheme may still gain credit

No data available in official reports

Practise what examiners flagged

Target weak topics from this report inside the Revui app

Self-diagnostic checklist

Key actions before you sit this paper — copy and tick off as you revise

  • 1Message

    This year's M1 paper sits at a solid Grade 4 difficulty. While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical e

  • 2Message

    This year's M1 paper sits at a solid Grade 4 difficulty.

  • 3Message

    While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical explanations.

Teacher briefing pack

One-page session summary for tutors and classroom review

2023 2023 2023

Mathematics M1 Calculus and Statistics

This year's M1 paper sits at a solid Grade 4 difficulty. While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical e

  • This year's M1 paper sits at a solid Grade 4 difficulty. While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical e

  • This year's M1 paper sits at a solid Grade 4 difficulty.

  • While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical explanations.

Total marks
100
Duration
150 min
Session difficulty
3.8 / 5
Level 5**
~91% of max
Level 5*
~76% of max
Level 5
~65% of max

Session analysis

This year's M1 paper sits at a solid Grade 4 difficulty. While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical explanations.

Updated Jun 11, 2026

Paper breakdown

2023 Mathematics EP (M1):

100 marks150 min

Top chapters

Applications of differentiation18 marks
Conditional probability and Bayes’ theorem13 marks
Definite integration and its applications13 marks

Exam structure insights

Marks by chapter

See where the marks were concentrated so revision time goes to the highest-value topics.

Applications of differentiation18 marks
Conditional probability and Bay13 marks
Definite integration and its ap13 marks
Applications of the binomial an12 marks
Confidence interval for a popul8 marks
Discrete random variables6 marks
Indefinite integration and its6 marks
Sampling distribution and point5 marks

Mark accessibility

Estimate which marks were basic, mid-level, or high-difficulty.

80% within easy or medium reach

35
45
20
Easy: 35 marksMedium: 45 marksHard: 20 marks

Command word frequency

Spot common command words so answers match the expected response style.

Find14 times
Explain3 times
Determine2 times
Express3 times
Solve1 times

Question type mix

Compare the mark share of each paper section and question type.

100Marks
  • Short Questions

    (Section A)

    50·8·50%

  • Long Questions

    (Section B)

    50·4·50%

Study ROI

Bigger bubbles recur more often; higher bubbles carry more marks, helping you rank revision priorities.

DifficultyRecurrence %Discrete random va…Confidence interva…Conditional probab…Definite integrati…

Difficulty trend

Compare difficulty across recent years.

3.820213.820223.82023

Time vs marks

Compare marks with suggested time allocation to plan exam pacing.

MarksMinutesMarks / min

Section A

0.71 m/min
50
70

Total marks

50

Total time

70 min

Avg pace

0.71

Next-year prediction

Topics worth watching next year, with the reason shown directly below each bar.

Normal approximation to Binomial distribution

85%

85%

Rates of change applications

80%

80%

Difficulty Verdict

This year's M1 paper sits at a solid Grade 4 difficulty. While foundational questions in Section A (such as conditional probability and standard binomial expansions) offer accessible points, the latter halves of both sections demand high algebraic precision and rigorous logical explanations.

Where the Marks Are

Marks are heavily concentrated in Applications of Differentiation and Bayes' Theorem / Conditional Probability. In Calculus, Q11 and Q12 demand a robust grasp of differentiation techniques and algebraic manipulation during integration by substitution. In Statistics, Q10 integrates Poisson and Binomial distributions, testing candidates' ability to transition between discrete models seamlessly.

Examiner notes & key calculations

  • Scale Conversion Errors: Many candidates failed to scale the Poisson parameter from a per-minute rate to an hourly rate before applying the Central Limit Theorem in Q2.
  • Notation & Rigour: In Q11, candidates often failed to use the first or second derivative tests to properly justify whether an extreme value exists at x=0 x = 0 x=0.
  • Confidence Interval Misconceptions: A common pitfall in Q9 was confusing the sample standard deviation with the standard error of the mean when constructing the confidence intervals.

Analysis is paraphrased for study purposes. Always verify against the official examiner report and mark scheme.

MATHEMATICS-M1-CALCULUS-AND-STATISTICS/21 — HKDSE Mathematics M1 Calculus and Statistics (2023 2023) | Revui