GCSE Mathematics Foundation Tier: Key Vocabulary & Formulas

Examination Structure, Administrative Rules, and Core Formulae

  • General Certificate of Secondary Education (GCSE) Mathematics Unit M6 Paper 2 (With calculator) Foundation Tier [GMC62].

  • Examination session parameters:

    • Time allocation: 1 hour (10.45 am−11.45 am10.45\,\text{am} - 11.45\,\text{am}, Wednesday 3 June 2026).

    • Total score achievable: 50 marks50\,\text{marks} across 17 compulsory questions.

    • Allowed and required equipment: Electronic calculator, ruler, compasses, protractor, and HB pencil for all drawings, constructions, or sketches.

    • Permitted ink: Black ink only (gel pens strictly prohibited).

  • Standard geometrical formulae provided on the reference sheet:

    • Area of a trapezium:     Area=12(a+b)h\text{Area} = \frac{1}{2}(a + b)h     where aa and bb denote the lengths of the two parallel sides, and hh represents the perpendicular distance (height) between them.     

      Trapezium showing parallel sides a and b with perpendicular height h
    • Volume of a prism:     Volume=area of cross section×length\text{Volume} = \text{area of cross section} \times \text{length}     

      Triangular prism showing uniform cross-sectional face and length

Distance Metric Conversions and Compass Bearings

  • Conversion between imperial miles and metric kilometres (Larne to Ballymena):

    • Given distance: 20 miles20\,\text{miles}.

    • Standard conversion equivalence: 5 miles≈8 km5\,\text{miles} \approx 8\,\text{km} (or 1 mile≈1.6 km1\,\text{mile} \approx 1.6\,\text{km}).

    • Conversion calculation:     20 miles=20×1.6=32 km20\,\text{miles} = 20 \times 1.6 = 32\,\text{km}     Alternatively: 20×85=4×8=32 km\text{Alternatively: } 20 \times \frac{8}{5} = 4 \times 8 = 32\,\text{km}

    • Final converted distance: 32 km32\,\text{km}.

  • Map scale factor calculation (Bangor to Coleraine):

    • Given representative scale: 1 cm:4 km1\,\text{cm} : 4\,\text{km}.

    • Measured distance on map: 27.5 cm27.5\,\text{cm}.

    • Actual real-world distance:     Actual distance=27.5×4 km=110 km\text{Actual distance} = 27.5 \times 4\,\text{km} = 110\,\text{km}

  • Reciprocal compass bearings:

    • Given direction: Comber is situated North East (NE\text{NE}) of Newry.

    • The reciprocal (opposite) direction of North East (NE\text{NE}, bearing 045∘045^\circ) is South West (SW\text{SW}, bearing 225∘225^\circ).

    • Therefore, Newry is South West of Comber.

Sample Space, Outcome Listings, and Independent Probabilities

  • Two-match hockey series possible outcomes:

    • Each independent match allows three mutually exclusive results: Win (WW), Draw (DD), or Lose (LL).

    • By the multiplication principle of combinatorics, total possible outcomes for two matches equal 3×3=93 \times 3 = 9.

    • Systematic listing of all nine distinct outcomes:     {WW,WD,WL,DW,DD,DL,LW,LD,LL}\{WW, WD, WL, DW, DD, DL, LW, LD, LL\}

  • Probability axiomatic boundaries:

    • Statement scenario: Ethan states P(rain)=0.7P(\text{rain}) = 0.7, while Abbie asserts P(rain)≈2P(\text{rain}) \approx 2.

    • Abbie is incorrect because all classical probability values P(E)P(E) must satisfy the fundamental inequality:     0≤P(E)≤10 \le P(E) \le 1

    • A probability value cannot exceed 11 (or 100%100\% certainty).

  • Single selection of colored T-shirts:

    • Distribution of shirts in luggage:

    • Blue: 77

    • Red: 55

    • Green: 22

    • Yellow: 11

    • Total number of shirts:     Total=7+5+2+1=15\text{Total} = 7 + 5 + 2 + 1 = 15

    • Fractional probability of selecting a green T-shirt at random:     P(Green)=215P(\text{Green}) = \frac{2}{15}

  • Fair six-sided die throw:

    • Sample space: S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}, where n(S)=6n(S) = 6.

    • Subset of outcomes strictly greater than 4: {5,6}\{5, 6\}, where n(greater than 4)=2n(\text{greater than } 4) = 2.

    • Probability calculation:     P(>4)=26=13P(> 4) = \frac{2}{6} = \frac{1}{3}

  • Expected values and inverse sample size calculation:

    • Village morning traffic monitoring: P(driver speeding)=0.1P(\text{driver speeding}) = 0.1.

    • Observed number of speeding drivers: 1212.

    • Total number of drivers monitored (NN):     N=Number of speeding driversP(speeding)=120.1=120 driversN = \frac{\text{Number of speeding drivers}}{P(\text{speeding})} = \frac{12}{0.1} = 120\,\text{drivers}

  • Coin tossing sample space and probability grid:

    • Two fair coins tossed independently, each with outcomes Heads (HH) or Tails (TT).

    • Grid of all joint possibilities:

    • (H,H)(H, H)

    • (H,T)(H, T)

    • (T,H)(T, H)

    • (T,T)(T, T)     

      Two-way sample space grid for two coins
    • Probability of obtaining two tails simultaneously:     P(TT)=14=0.25P(TT) = \frac{1}{4} = 0.25

Geometric Similarity, Linear Scale Factors, and Perimeter

  • Enlargement of 2D polygons from Shape A to Shape B:

    • Corresponding side lengths:

    • Known dimension in Shape A: 6 cm6\,\text{cm}.

    • Corresponding dimension in Shape B: 30 cm30\,\text{cm}.

    • Linear scale factor (kk):     k=30 cm6 cm=5k = \frac{30\,\text{cm}}{6\,\text{cm}} = 5

    • Finding unknown side length xx on Shape B:

    • Given corresponding base side on Shape A: 4 cm4\,\text{cm}.

    • Dimension of xx:       x=4×k=4×5=20 cmx = 4 \times k = 4 \times 5 = 20\,\text{cm}

    • Finding unknown side length yy on Shape B:

    • Total perimeter of enlarged Shape B: 110 cm110\,\text{cm}.

    • Sum of known sides of Shape B: 30 cm30\,\text{cm}, 25 cm25\,\text{cm}, and x=20 cmx = 20\,\text{cm}.

    • Equation of perimeter:       30+25+20+y=11030 + 25 + 20 + y = 110       75+y=11075 + y = 110       y=110−75=35 cmy = 110 - 75 = 35\,\text{cm}

Linear Arithmetic Sequences and Tile Growth Models

  • Tile arrangements utilizing black and white squares:   

    Pattern sequence showing black and white square tilesTable showing black, white, and total squares per pattern number
    • Pattern 1: 5 black squares5\,\text{black squares}, 4 white squares4\,\text{white squares}, 9 total squares9\,\text{total squares}.

    • Pattern 2: 6 black squares6\,\text{black squares}, 6 white squares6\,\text{white squares}, 12 total squares12\,\text{total squares}.

    • Pattern 3: 7 black squares7\,\text{black squares}, 8 white squares8\,\text{white squares}, 15 total squares15\,\text{total squares}.

  • Derivation of the nn-th term formulae:

    • Number of black squares (BnB_n):     Bn=5+(n−1)×1=n+4B_n = 5 + (n - 1) \times 1 = n + 4

    • Number of white squares (WnW_n):     Wn=4+(n−1)×2=2n+2W_n = 4 + (n - 1) \times 2 = 2n + 2

    • Total number of squares (TnT_n):     Tn=Bn+Wn=(n+4)+(2n+2)=3n+6T_n = B_n + W_n = (n + 4) + (2n + 2) = 3n + 6

  • Values for Pattern 5 (n=5n = 5):

    • Black squares: B5=5+4=9B_5 = 5 + 4 = 9

    • White squares: W5=2(5)+2=12W_5 = 2(5) + 2 = 12

    • Total squares: T5=3(5)+6=21T_5 = 3(5) + 6 = 21

  • White squares in the tenth pattern (n=10n = 10):   W10=2(10)+2=22W_{10} = 2(10) + 2 = 22

    • Correct value among choices (1313, 4040, 2222, 3131): 2222.

Two-Way Contingency Tables and Categorical Probabilities

  • Chess club membership breakdown:   

    Two-way table showing chess club student numbers by school year and gender
    • Year 8: 6 Girls6\,\text{Girls}, 11 Boys11\,\text{Boys} (Subtotal = 1717)

    • Year 9: 9 Girls9\,\text{Girls}, 14 Boys14\,\text{Boys} (Subtotal = 2323)

    • Year 10: 13 Girls13\,\text{Girls}, 7 Boys7\,\text{Boys} (Subtotal = 2020)

    • Column sums:

    • Total Girls: 6+9+13=286 + 9 + 13 = 28

    • Total Boys: 11+14+7=3211 + 14 + 7 = 32

    • Overall total club participants: 28+32=6028 + 32 = 60

  • Probability determinations for a randomly chosen attendee:

    • Probability of selecting a Year 8 boy:     P(Year 8 Boy)=1160P(\text{Year 8 Boy}) = \frac{11}{60}

    • Probability of selecting a Year 9 student:     P(Year 9)=2360P(\text{Year 9}) = \frac{23}{60}

    • Probability of selecting a girl:     P(Girl)=2860=715P(\text{Girl}) = \frac{28}{60} = \frac{7}{15}

    • Probability of selecting a student not in Year 8:     P(Not Year 8)=1−P(Year 8)=1−1760=4360P(\text{Not Year 8}) = 1 - P(\text{Year 8}) = 1 - \frac{17}{60} = \frac{43}{60}     Alternatively: 23+2060=4360\text{Alternatively: } \frac{23 + 20}{60} = \frac{43}{60}

Financial Mathematics and Currency Conversions

  • Parisian café pricing structure:

    • Coffee of the Day: €4.004.00

    • Café Espresso: €5.005.00

    • Café au Lait: €4.504.50

    • Café Mocha: €7.007.00

    • Toffee Latte: €6.006.00

  • Gilbert family itemized order:

    • 1×Coffee of the Day=€4.001 \times \text{Coffee of the Day} = €4.00

    • 1×Cafeˊ au Lait=€4.501 \times \text{Café au Lait} = €4.50

    • 2×Toffee Latte=2×€6.00=€12.002 \times \text{Toffee Latte} = 2 \times €6.00 = €12.00

  • Total cost in Euros (€):   Total (€)=4.00+4.50+12.00=20.50 €\text{Total (€)} = 4.00 + 4.50 + 12.00 = 20.50\,\text{€}

  • Conversion to British Pounds (£):

    • Official exchange rate: £1=€1.18£1 = €1.18.

    • Division formula:     Cost in £=20.501.18=17.37288...\text{Cost in } £ = \frac{20.50}{1.18} = 17.37288...

    • Rounding to two decimal currency places: £17.37£17.37.

Coordinate Transformations: Translations and Rotations

  • Translation of polygon C to polygon D:   

    Cartesian coordinate plane showing polygons C and D
    • Coordinate mapping analysis:

    • Vertex of C at (2,7)(2, 7) maps to vertex of D at (−5,6)(-5, 6).

    • Vertex of C at (5,7)(5, 7) maps to vertex of D at (−2,6)(-2, 6).

    • Vertex of C at (5,3)(5, 3) maps to vertex of D at (−2,2)(-2, 2).

    • Vertex of C at (2,5)(2, 5) maps to vertex of D at (−5,4)(-5, 4).

    • Transformation properties: Congruent, unchanged orientation, indicating a pure translation.

    • Vector calculation:     Δx=−5−2=−7\Delta x = -5 - 2 = -7     Δy=6−7=−1\Delta y = 6 - 7 = -1

    • Full description: Translation by column vector (−7−1)\begin{pmatrix} -7 \\ -1 \end{pmatrix}.

  • Anti-clockwise rotation about the origin:   

    Right triangle on a grid with vertices at (1, 1), (4, 1), and (4, 3)
    • Transformation rule for a 90∘90^\circ anti-clockwise rotation centered at the origin (0,0)(0, 0):     (x,y)→(−y,x)(x, y) \rightarrow (-y, x)

    • Applying rule to initial vertices:

    • Initial point (1,1)→(−1,1)(1, 1) \rightarrow (-1, 1)

    • Initial point (4,1)→(−1,4)(4, 1) \rightarrow (-1, 4)

    • Initial point (4,3)→(−3,4)(4, 3) \rightarrow (-3, 4)

    • The resulting rotated figure forms a congruent right-angled triangle in quadrant II with vertices at (−1,1)(-1, 1), (−1,4)(-1, 4), and (−3,4)(-3, 4).

Discrete Probability Distributions with Symmetrical Unknowns

  • Commuter travel methods for Jack: Car, Bus, Train, or Bicycle.

    • Given discrete probabilities:

    • P(Car)=30%P(\text{Car}) = 30\%

    • P(Bicycle)=6%P(\text{Bicycle}) = 6\%

    • P(Bus)=P(Train)P(\text{Bus}) = P(\text{Train})

    • The sum of probabilities across all exhaustive, mutually exclusive categories equals 100%100\%:     P(Car)+P(Bus)+P(Train)+P(Bicycle)=100%P(\text{Car}) + P(\text{Bus}) + P(\text{Train}) + P(\text{Bicycle}) = 100\%     30%+2×P(Bus)+6%=100%30\% + 2 \times P(\text{Bus}) + 6\% = 100\%     36%+2×P(Bus)=100%36\% + 2 \times P(\text{Bus}) = 100\%     2×P(Bus)=64%2 \times P(\text{Bus}) = 64\%     P(Bus)=32%P(\text{Bus}) = 32\%     P(Train)=32%P(\text{Train}) = 32\%

    • Probability that Jack does not travel to work by bus:     P(Not Bus)=100%−P(Bus)=100%−32%=68%P(\text{Not Bus}) = 100\% - P(\text{Bus}) = 100\% - 32\% = 68\%

Limits of Accuracy and Error Intervals

  • Bag mass measured to the nearest kilogram:

    • Recorded measurement: 14 kg14\,\text{kg}.

    • Measurement unit of precision: 1 kg1\,\text{kg}.

    • Half-unit threshold: 12=0.5 kg\frac{1}{2} = 0.5\,\text{kg}.

    • Error interval derivation:

    • Lower bound (minimum possible mass): 14−0.5=13.5 kg14 - 0.5 = 13.5\,\text{kg}.

    • Upper bound (supremum mass): 14+0.5=14.5 kg14 + 0.5 = 14.5\,\text{kg}.

    • Complete inequality specification:     13.5 kg≤mass<14.5 kg13.5\,\text{kg} \le \text{mass} < 14.5\,\text{kg}

Geometric Constructions: Perpendicular Bisector

  • Construction procedure using straightedge and pair of compasses:

    • Step 1: Place the compass point on one terminus of the line segment.

    • Step 2: Set compass width to an opening strictly greater than half the perceived length of the segment.

    • Step 3: Draw a continuous arc extending both above and below the line segment.

    • Step 4: Keeping the compass width fixed, transfer the compass point to the opposite endpoint of the segment.

    • Step 5: Draw a second arc intersecting the first arc above and below the segment at two distinct intersection points.

    • Step 6: Using a straightedge ruler, align and draw a straight pencil line through both arc intersection points.

    • Procedural rule: All construction arcs must remain clearly visible and un-erased.

Numerical Methods: Trial and Improvement

  • Solving the non-linear equation x3−x=32x^3 - x = 32 correct to 1 decimal place:

    • Integer iteration:

    • Try x=3x = 3:       33−3=27−3=24(24<32, too small)3^3 - 3 = 27 - 3 = 24 \quad (24 < 32, \text{ too small})

    • Try x=4x = 4:       43−4=64−4=60(60>32, too big)4^3 - 4 = 64 - 4 = 60 \quad (60 > 32, \text{ too big})

    • Root lies in the interval 3<x<43 < x < 4.

    • One decimal place iteration:

    • Try x=3.2x = 3.2:       3.23−3.2=32.768−3.2=29.568(29.568<32, too small)3.2^3 - 3.2 = 32.768 - 3.2 = 29.568 \quad (29.568 < 32, \text{ too small})

    • Try x=3.3x = 3.3:       3.33−3.3=35.937−3.3=32.637(32.637>32, too big)3.3^3 - 3.3 = 35.937 - 3.3 = 32.637 \quad (32.637 > 32, \text{ too big})

    • Root lies in the interval 3.2<x<3.33.2 < x < 3.3.

    • Midpoint test for conclusive rounding:

    • Test x=3.25x = 3.25:       3.253−3.25=34.328125−3.25=31.078125(31.078125<32, too small)3.25^3 - 3.25 = 34.328125 - 3.25 = 31.078125 \quad (31.078125 < 32, \text{ too small})

    • Because the value at x=3.25x = 3.25 yields a result less than 3232, the true root must lie strictly between 3.253.25 and 3.303.30:       3.25<x<3.33.25 < x < 3.3

    • Every number in this interval rounds to 3.33.3 to 1 decimal place.

    • Final root: x=3.3x = 3.3.

Polygon Angles Meeting at a Common Vertex

  • Geometry of regular polygons meeting at a point:   

    Regular pentagon P, rectangle R, and equilateral triangle T meeting at a vertex
    • Constituent shapes:

    • Shape P: Regular pentagon (n=5n = 5 sides).

    • Shape T: Equilateral triangle (n=3n = 3 sides).

    • Shape R: Rectangle (n=4n = 4 sides).

  • Interior angle calculations:

    • Interior angle of a regular pentagon (PP):     Interior Angle=(5−2)×180∘5=3×180∘5=540∘5=108∘\text{Interior Angle} = \frac{(5 - 2) \times 180^\circ}{5} = \frac{3 \times 180^\circ}{5} = \frac{540^\circ}{5} = 108^\circ

    • Interior angle of an equilateral triangle (TT):     Interior Angle=180∘3=60∘\text{Interior Angle} = \frac{180^\circ}{3} = 60^\circ

    • Interior angle of a rectangle (RR):     Interior Angle=90∘\text{Interior Angle} = 90^\circ

  • Angle sum around a vertex:

    • The sum of all angles meeting at a single point on a plane equals 360∘360^\circ:     x+108∘+60∘+90∘=360∘x + 108^\circ + 60^\circ + 90^\circ = 360^\circ     x+258∘=360∘x + 258^\circ = 360^\circ     x=360∘−258∘=102∘x = 360^\circ - 258^\circ = 102^\circ

    • Final angle: x=102∘x = 102^\circ.

Experimental Probability and Relative Frequency

  • Cumulative surveys of Year 13 students regarding part-time employment:   

    Relative frequency table for Year 13 students with part-time jobs
    • Relative frequency formula:     Relative Frequency=Frequency of positive responsesTotal sample size\text{Relative Frequency} = \frac{\text{Frequency of positive responses}}{\text{Total sample size}}

  • Table row computations:

    • Sample size 1010: Positive count = 66, Relative frequency = 610=0.6\frac{6}{10} = 0.6

    • Sample size 4040: Positive count = 2626, Relative frequency = 2640=0.65\frac{26}{40} = 0.65

    • Sample size 5050: Positive count = 3636, Relative frequency calculation:     Relative frequency=3650=0.72\text{Relative frequency} = \frac{36}{50} = 0.72

    • Sample size 150150: Positive count = 111111, Relative frequency = 111150=0.74\frac{111}{150} = 0.74

    • Sample size 200200: Relative frequency = 0.80.8, Positive count calculation:     Number with a part-time job=200×0.8=160\text{Number with a part-time job} = 200 \times 0.8 = 160

    • Sample size 300300: Positive count = 231231, Relative frequency = 231300=0.77\frac{231}{300} = 0.77

  • Tabular completion values:

    • Missing relative frequency for 5050 students: 0.720.72.

    • Missing student frequency for 200200 students: 160160.