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A Level · Cambridge (CIE) · 9709

Use blocks for objects that must stay together

Treat adjacent objects as one unit, then count their permitted internal orders and any repeated units.

Section 5.2 · Permutations and combinations

Statistics 1 · Permutations and combinations · 5.2
Exam scope and assessment notes

Probability & Statistics 1 (Paper 5, AS & A Level) · Mathematics 9709, 2026–2027, section 5.2. State whether order matters, objects are distinguishable, repetition is permitted and positions or rows are labelled. Count mutually exclusive cases before adding them; account for internal arrangements when using blocks. These lessons include seating in two or more rows. Arrangements in a circle are excluded from this syllabus section. Unless a question says otherwise, people and named roles are distinguishable, and selection is without replacement. Written practice is self-checked; human subject-teacher review remains pending.

Before you begin

  • Count permutations and repeated objects.
  • Interpret adjacent as consecutive positions.

Work on paper. Try each question before revealing help, and explain why your method works.

Quick readiness check

How many outer units remain when A and B form one block among five people?

What you will learn

  • Use a block to enforce adjacency in a linear arrangement.
  • Account for internal order and indistinguishable objects outside a block.
A and B must be adjacent among A, B, C, D, E. Treat AB as one block with C, D, E, giving four outer units in 4! orders. The block may be AB or BA, giving 2! internal orders. There are 4! × 2! = 48 rows. Directed adjacency with A immediately before B would allow only 24.Adjacent pair becomes one unitABCDE4 outer units → 4! ordersABBA2 permitted internal orders4! × 2! = 48 rowsFixed AB direction → 24 rows
A and B must be adjacent among A, B, C, D, E. Treat AB as one block with C, D, E, giving four outer units in 4! orders. The block may be AB or BA, giving 2! internal orders. There are 4! × 2! = 48 rows. Directed adjacency with A immediately before B would allow only 24.

A block reduces the number of outer units

Five different people A, B, C, D and E stand in a row with A and B adjacent. Replace them by one block, leaving four units: [AB], C, D and E. Arrange these units in 4! ways and arrange the two block members in 2! ways. The count is 4! × 2! = 48.

If A must be immediately to the left of B, the block has only one allowed internal order, AB, and the count becomes 4! = 24. For six different people with A, B and C occupying three consecutive positions in any order, there are four outer units and 3! internal orders, giving 4! × 3! = 144.

A repeated block needs its own outcome check

For strings using AABB with the A copies adjacent, regard AA as one fixed block. The outer units are [AA], B and B, so their arrangements number 3!/2! = 3. They are AABB, BAAB and BBAA. The identical A copies do not give an extra 2! internal factor.

A block method works when every valid arrangement is represented exactly once by a block location and permitted internal order. Overlapping conditions such as ‘A next to B or C’ require disjoint cases or an overlap correction; separate block counts can include the same arrangement twice. Confirm exactly which adjacency is required.

Pause and explain

A and B must be adjacent among five different people. How many rows?

Put the idea to work

Worked example

Arrange A, B, C, D, E in a row with A next to B.

Show the worked solution
  1. Replace A and B by a single unit, giving four outer units.
  2. Their outer orders number 4! = 24.
  3. The block may be AB or BA, so multiply by two to get 48.

Answer 48 arrangements.

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From guided practice to a new situation

Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.

1 · Guided

Arrange A, B, C, D, E in a row with A and B adjacent, in either order.

Give me a hint

Count the block and the other three people as four units.

Compare my reasoning
  1. There are 4! = 24 outer orders.
  2. The block has two orders, AB and BA.
  3. Multiply 24 × 2 = 48.

48 arrangements.

Look for these in your work

  • Enforce adjacency through one block.
  • Include both allowed internal orders.
2 · Independent

Six different people A–F form a row. A, B and C must occupy three consecutive positions in any order. Count arrangements.

Give me a hint

Three members form one block alongside the other three people.

Compare my reasoning
  1. The outer units are [ABC], D, E and F, giving 4! = 24 orders.
  2. The block’s members have 3! = 6 internal orders.
  3. The count is 24 × 6 = 144.

144 arrangements.

Look for these in your work

  • Use four outer units rather than three or six.
  • Preserve every permitted internal order.
3 · Transfer

Count distinct strings using AABB in which the A copies are adjacent. List the outcomes to check your count.

Give me a hint

Use a fixed AA block and two identical B units.

Compare my reasoning
  1. Arrange [AA], B, B in 3!/2! = 3 ways.
  2. The AA block has only one visible internal order.
  3. List AABB, BAAB and BBAA to confirm all three.

3 strings: AABB, BAAB, BBAA.

Look for these in your work

  • Correct for identical B copies outside the block.
  • Do not multiply for swapping identical A copies.

Common mistakes

  • Count the new outer units carefully.
  • Include internal orders only when they are permitted and distinct.
  • Overlapping block cases may double-count arrangements.
Recall without your notes

What can you explain now?

What changes if A must be immediately before B?

Compare with the explanation

Only the internal order AB is allowed, so the count is 24.

Adjacency alone allows both AB and BA; directed adjacency does not.

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Make it stick

Form the required block, arrange outer units, then count distinct permitted internal orders.

If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.

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Course scope and assessment

312 sequenced lessons provide 936 guided, independent and application problems covering the 160 objectives in sections 1.1–1.8, 2.1–2.6, 3.1–3.9, 4.1–4.5, 5.1–5.5 and 6.1–6.5. The map lists all 38 sections across six alternative components; all eight Pure Mathematics 1 sections and all six Pure Mathematics 2 sections, from Paper 2 Algebra through Numerical solution of equations, currently have full teaching sequences. Paper 3 Algebra, section 3.1, links the six shared foundation lessons plus six lessons on partial fractions and rational binomial expansions; Paper 3 logarithms, trigonometry and numerical equations use the shared lessons, with the Paper 1 graph foundation linked into trigonometry. Paper 3 differentiation combines the shared methods with its inverse-tangent derivative lesson. Paper 3 Integration links four shared standard and identity lessons plus seven advanced lessons, covering all six section 3.5 requirements. Eight Vectors lessons cover all six section 3.7 requirements, with 2D and 3D line and solid applications. Nine Differential equations lessons cover all four section 3.8 requirements, including Paper 3 integration techniques, initial conditions, equilibrium solutions and conditional model interpretations. Eleven Complex numbers lessons cover all eight section 3.9 requirements, with seven Argand diagrams and explicit argument and boundary checks. All nine Pure Mathematics 3 sections now have teaching linked to every mapped requirement. Nine Forces and equilibrium lessons cover all seven section 4.1 requirements, with six force diagrams, signed incline-friction intervals, reaction-dependent pull and push limits and separate-body third-law checks. Nine Kinematics lessons cover the four official section 4.2 requirements, with the graph requirement mapped to three relationships. Six motion diagrams support directed quantities, graph slopes and signed areas, Paper 1 time-calculus methods, reversal distances, constant-acceleration stages and shared-clock particle meetings. Six Momentum lessons cover both section 4.3 requirements, including signed system totals, conservation assumptions, outgoing velocities, coalescence, unknown masses and successive impacts. Four diagrams show system momentum through the stipulated events, and supplied kinetic-energy checks distinguish conservation of momentum from changes in kinetic energy. Twelve Newton’s laws lessons cover all four section 4.4 requirements, with vertical support and release stages, rough horizontal and incline motion, inferred parameters, hanging and surface pulley systems, rigid tow-bar thrust and slack-string transitions. Seven force diagrams support the separate-particle balances. Nine Energy, work and power lessons cover all five section 4.5 requirements, with angle-dependent work, kinetic and reference potential energy, signed net-work balances, smooth curved slides, rough and driven slopes, ideal connected-system energy and instantaneous power on hills. Five diagrams distinguish the energy inputs, losses and valid positive-speed force model. All five Mechanics sections now have teaching and staged practice linked to their mapped requirements. Thirteen Representation of data lessons cover all five section 5.1 requirements, including choice and limitations of displays, ordered and back-to-back stems, raw summaries and box plots, unequal-width density histograms, cumulative-frequency interpolation, descriptive moment calculations, grouped estimates, coding, combining two datasets and correcting totals. Six accessible diagrams retain repeated observations and distinguish numerical spread, frequency area and estimated readings. Ten Permutations and combinations lessons cover both official section 5.2 requirements, with selection and ordered roles, repeated objects, adjacency blocks, non-adjacency gaps, leading-zero cases, labelled multi-row seating and mixed restrictions. Six accessible diagrams show outcome trees, ordered versus unordered choices, repeated copies, blocks, gaps and distinct row seats. Eleven Probability lessons cover all four section 5.3 requirements, with equiprobable elementary outcomes, selection-based probabilities, complements and disjoint regions, independence tests, restricted sample spaces, two-way tables, replacement and removal trees, reversed conditions and unknown parameters. Seven accessible diagrams show dice outcomes, random subsets, event regions, a conditioned grid, a count table and two probability trees. Twelve Discrete random variables lessons cover all three official section 5.4 requirements, with complete probability tables, moment and parameter checks, binomial assumptions, exact probabilities and moments, geometric first-success probabilities, tails, expectation and integer reliability thresholds. Six accessible diagrams distinguish outcome grouping, weighted moments, fixed trials, discrete probability bars, waiting conventions and integer tail deadlines. Twelve Normal distribution lessons cover all three official section 5.5 requirements, with continuous-area interpretation, MF19 cumulative tables, full standardisation, tail and interval regions, conditional probabilities, percentiles, one- and two-parameter inference, binomial suitability, continuity corrections and approximate integer thresholds. Seven accessible diagrams show model areas, table reading, aligned scales, intervals, quantiles, matched binomial and normal shapes and whole integer cells. All five Statistics 1 sections now have teaching and staged practice linked to their mapped requirements. Fourteen Poisson distribution lessons cover all five official section 6.1 requirements, with homogeneous event-count assumptions, exposure scaling, exact masses and tails, conditional count events, moments, parameter inference, probability duration targets, disjoint and overlapping windows, rare-count binomial approximations, matched normal approximations and continuity corrections. Nine accessible diagrams show event exposures, unit conversions, discrete bars, complete tail complements, population moments, shared windows, approximate count models and integer cells. Exact checks distinguish approximate and exact close-target decisions. Fourteen Linear combinations lessons cover the six listed results in official section 6.2, with affine moments, signed scales and constant cases, expectation without independence, independent squared variance contributions, fixed and random fees, independent copies versus reused values, affine normal events, independent normal sums and differences, weighted and conditional areas, coefficient inference, exact independent Poisson sums and overlapping exposure limits. Nine accessible diagrams distinguish scale changes, variance contributions, component costs, copy mechanisms, aligned normal scales, summed areas, Poisson count pairs and unsupported distribution claims. Fourteen Continuous random variables lessons cover both official section 6.3 requirements, with density validity and units, support-aware intervals, complements and conditional regions, first and second moments, percentiles by direct density areas, symmetry checks, parameter inference, infinite-support power and exponential integrals, divergent-moment limits and combined applications. Nine accessible diagrams distinguish density height from probability, normalisation, negative-density failures, central and conditional areas, mean versus median, percentile locations and partial infinite tails. Explicit cumulative distribution function knowledge is not required. Eighteen Sampling and estimation lessons cover all eight official section 6.4 requirements, with population and frame definitions, random-number selection, sampling-quality limits, independent sample-mean moments, normal means, CLT conditions, SE scaling, raw, summarised and coded unbiased estimates, known-variance and large-sample mean intervals, repeated-sampling interpretation, precision planning, proportion intervals, sparse-outcome limits and contextual applications. Ten accessible diagrams distinguish selection frames, number rejection, repeated sample means, population versus mean density, CLT models, variance divisors, interval targets, illustrative coverage, integer size checks and proportion margins. Eighteen Hypothesis tests lessons cover all five official section 6.5 requirements, with pre-specified alternatives, inclusive count tails, explicit equal-tail conventions, integer critical regions and actual significance, exposure-aware Poisson tests, continuity-corrected count approximations, normal and large-sample mean tests, confidence-interval connections, error classifications, fixed-region binomial, Poisson and normal error probabilities and sample-size power comparisons. Nine accessible diagrams show the testing procedure, exact count regions, unequal Poisson tails, discrete significance jumps, corrected count boundaries, matching mean intervals and alternative error distributions. All shared lessons are counted once in the course total. All 38 sections now link teaching and practice. Eight earlier overview lessons remain available, but do not count as full section coverage. This is a content-availability measure, not full programme completion or exam readiness. Written practice is self-checked, not officially marked. Check the 2028–2030 syllabus separately if sitting an examination from 2028; this teaching map uses 2026–2027 requirements.

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