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A Level · Cambridge (CIE) · 9709

Seat people in two or more labelled rows

Count row membership and seat positions separately, respecting named rows and restrictions within each row.

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

  • Use combinations and permutations.
  • Apply fixed-position and adjacency restrictions.

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

Quick readiness check

In two labelled rows of three seats, how many distinguishable seats are there?

What you will learn

  • Count seating in labelled rows with distinguishable seats.
  • Apply same-row or opposite-row restrictions without dividing away row labels.
Front and back rows each have three numbered seats. The illustrated seating puts A, C, D in the front and B, E, F in the back, with A and B in opposite rows. All six seats are distinguishable: 6! = 720 total seatings. A and B in the same row gives 288; opposite rows gives 432, summing to 720. Swapping front and back gives a different seating.Row and seat labels matterSeat 1Seat 2Seat 3FrontACDBackBEFSix distinguishable seats: 6! = 720A and B same row: 288A and B opposite rows: 432288 + 432 = 720
Front and back rows each have three numbered seats. The illustrated seating puts A, C, D in the front and B, E, F in the back, with A and B in opposite rows. All six seats are distinguishable: 6! = 720 total seatings. A and B in the same row gives 288; opposite rows gives 432, summing to 720. Swapping front and back gives a different seating.

Labelled seats distinguish every placement

Six different people fill a front row of three numbered seats and a back row of three numbered seats. All six seats are distinguishable, so there are 6! = 720 seatings. Equivalently choose the front-row members in 6C3 ways, arrange them in 3! ways and arrange the rest in the back row in 3! ways: 20 × 6 × 6 = 720.

Do not divide by 2! merely because there are two equal-sized rows. Interchanging front and back changes occupied labelled seats. For three labelled rows of two seats each, successively choose memberships in 6C2 × 4C2 ways and arrange each pair in (2!)³ ways, also giving 720. A circular seating convention is outside this syllabus section.

Row membership and within-row order are separate conditions

Require A and B to be in the same row of the two-row layout, not necessarily adjacent. Choose their row in two ways, their third row member from the other four in four ways, and arrange each row in 3! ways. The count is 2 × 4 × 6 × 6 = 288. Adjacency within that row would be a stronger requirement with a different count.

Require A and B to be in opposite rows instead. Choose which row contains A in two ways and choose A’s two row companions from the four other people in 4C2 ways. Arrange both rows in (3!)² ways: 2 × 6 × 36 = 432. The counts 288 and 432 add to all 720 seatings. Adjacent seats mean neighbours within one row here; the end of one row is not adjacent to the start of another.

Pause and explain

A and B must share one of two labelled three-seat rows. What count is correct?

Put the idea to work

Worked example

Seat A–F in front and back rows of three numbered seats, with A and B in the same row.

Show the worked solution
  1. Choose their labelled row in two ways.
  2. Choose its third person from C–F in four ways.
  3. Arrange each row in 3! ways: 2 × 4 × (3!)² = 288.

Answer 288 seatings.

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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

Seat six different people in front and back rows of three numbered seats. Count unrestricted seatings in two ways.

Give me a hint

Either fill six labelled seats directly or choose the front-row members first.

Compare my reasoning
  1. Six distinct seats give 6! = 720 seatings.
  2. Alternatively choose front membership in 6C3 = 20 ways.
  3. Arrange both rows in 3! ways each: 20 × 6 × 6 = 720.

720 seatings by either method.

Look for these in your work

  • Preserve row and seat labels.
  • Account for within-row order after membership selection.
2 · Independent

In that two-row layout, A and B must be in opposite rows. Count seatings.

Give me a hint

Choose which row contains A, then choose A’s companions from the other four people.

Compare my reasoning
  1. Choose A’s row in two ways.
  2. Choose two companions from C–F in 4C2 = 6 ways; B is in the other row.
  3. Arrange both rows in (3!)² = 36 ways: 2 × 6 × 36 = 432.

432 seatings.

Look for these in your work

  • Exclude B from A’s row companions.
  • Retain both row orders and the row choice.
3 · Transfer

A–F sit in three labelled rows—front, middle and back—with two numbered seats in each. A is fixed at front seat 1 and B must sit in the back row. Count seatings.

Give me a hint

Choose B’s back seat before placing the remaining four people.

Compare my reasoning
  1. A’s seat is fixed in one way.
  2. Choose B’s back seat in two ways.
  3. Arrange C–F in the four unused distinguishable seats: 2 × 4! = 48.

48 seatings.

Look for these in your work

  • Keep all three row labels and the remaining seat positions distinguishable.
  • Apply B’s row condition after fixing A.

Common mistakes

  • Front and back remain labelled even when row sizes match.
  • Same row does not necessarily mean adjacent.
  • State which seat relationships count as adjacency.
Recall without your notes

What can you explain now?

Why is there no division by 2! for front and back rows?

Compare with the explanation

Swapping the rows changes the labelled seats occupied by each person.

The swapped placement is a different outcome under this seat model.

After trying it yourself, choose your next review. This is your self-assessment.

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Make it stick

Choose row memberships, arrange each row, and keep every named row and numbered seat distinct.

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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