4MA1 Cumulative Frequency

Study Notes · Statistics and Probability · Higher tier

Cumulative frequency curves, quartiles, IQR, box plots. The S-curve and box-plot comparisons are tested every series.

At a glance

  • Cumulative frequency = running total.
  • Plot at UPPER BOUND of each class.
  • Curve is smooth S-shape (ogive).
  • Median at n/2n/2.
  • Q1Q_1 at n/4n/4, Q3Q_3 at 3n/43n/4.
  • IQR = Q3−Q1Q_3 - Q_1.
  • Box plot = 5-number summary.
  • IQR > range? Never. IQR is part of the range.

What you’ll learn

Mapped to the Pearson Edexcel IGCSE 4MA1 syllabus (2026 onwards).

  • 6.4 — Construct a cumulative frequency table from grouped data.
  • 6.4 — Plot and interpret a cumulative frequency curve.
  • 6.4 — Find the median and quartiles from a cumulative frequency curve.
  • 6.4 — Calculate and interpret the interquartile range.
  • 6.4 — Construct and compare box plots.

Cumulative frequency tables

▼

Running total. Plot at the UPPER BOUND.

Cumulative frequency is a running total — the count of values up to and including a given point.

Worked example. Times: 00–1010 (5), 1010–2020 (12), 2020–3030 (8), 3030–4040 (5). Total n=30n = 30.

Cumulative table:

Time ≤t\le tCumulative freq
≤10\le 105
≤20\le 2017
≤30\le 3025
≤40\le 4030

KEY RULE. Plot cumulative frequency at the UPPER BOUND of each class — NOT the midpoint, NOT the lower bound.

Why? Because "cumulative frequency at t=20t = 20" means "how many had time UP TO 20". The class 1010–2020 contributes its full 12 to that count.

Edexcel tip. Always start the curve at (0,0)(0, 0) if there are no values below the first class — otherwise the curve doesn't pass through the origin.

  • Running total.
  • Plot at upper bound.
  • Start curve at zero where appropriate.
  • Final cumulative = total nn.

The cumulative frequency curve

▼

Smooth S-shape (ogive). Read off median and quartiles.

The curve. Plot the cumulative frequencies at the upper bounds, then connect with a SMOOTH CURVE (not straight lines). The shape is an "S" or "ogive".

Median from the curve. Median position is n/2n/2.

Worked example. n=60n = 60. Median position = 3030.

  • Find 3030 on the y-axis.
  • Read across to the curve.
  • Read down to the x-axis.
  • That x-value is the median.
Reading the median from a cumulative frequency curve time cumulative frequency 0 30 60 median n/2 = 30
Read across from n/2 to the curve, then down to the axis to find the median.

Quartiles from the curve.

QuartilePosition
Q1Q_1 (lower quartile)n/4n/4
Median (Q2Q_2)n/2n/2
Q3Q_3 (upper quartile)3n/43n/4

Worked example. n=60n = 60. Q1Q_1 at y=15y = 15; median at y=30y = 30; Q3Q_3 at y=45y = 45.

Interquartile range (IQR). IQR=Q3−Q1\text{IQR} = Q_3 - Q_1. Measures the spread of the middle 50% — robust to outliers.

Worked example. Q1=18Q_1 = 18, Q3=32Q_3 = 32. IQR =14= 14.

Edexcel tip. Mark schemes give ±1 unit tolerance for graph readings (because precision depends on graph scale). Always show your construction lines on the graph — examiners credit the method.

  • Connect points with a smooth curve.
  • Median at y=n/2y = n/2.
  • Q1Q_1 at y=n/4y = n/4; Q3Q_3 at y=3n/4y = 3n/4.
  • IQR = Q3−Q1Q_3 - Q_1.
  • Show construction lines.

See the full worked example for cumulative frequency →

Box plots

▼

Five-number summary as a picture.

A box plot displays five numbers:

  1. Minimum
  2. Lower quartile Q1Q_1
  3. Median
  4. Upper quartile Q3Q_3
  5. Maximum

Construction.

  • Box from Q1Q_1 to Q3Q_3 with a line at the median.
  • Whiskers from min to Q1Q_1 and from Q3Q_3 to max.

Worked example. min⁡=5\min = 5, Q1=12Q_1 = 12, median =18= 18, Q3=24Q_3 = 24, max⁡=40\max = 40.

  • Box: 12 to 24.
  • Median line at 18.
  • Left whisker: 5 to 12.
  • Right whisker: 24 to 40.
Box plot showing the five-number summary 512182440 min Q₁ Q₃ max median box = IQR (Q₃ − Q₁)
The box spans the quartiles with the median inside; whiskers reach the minimum and maximum.

Skewness. Compare the two whisker lengths and the position of the median in the box.

  • Right whisker much longer → POSITIVE skew (long tail to the right).
  • Left whisker much longer → NEGATIVE skew.
  • Symmetric: median in middle of box, whiskers similar length.

Comparing box plots. Edexcel asks "compare the two distributions". TWO statements needed:

  • One about CENTRE (compare medians).
  • One about SPREAD (compare IQRs).

Worked example. Group A: median 12, IQR 6. Group B: median 18, IQR 4.

  • "Group B has a higher median (18 vs 12), so on average Group B values are larger."
  • "Group A has a larger IQR (6 vs 4), so Group A values are more spread out."

Edexcel tip. Always state comparisons IN CONTEXT — say "students" or "marks", not just numbers.

  • Five-number summary.
  • Box: Q1Q_1 to Q3Q_3 with median.
  • Whiskers: min to Q1Q_1, Q3Q_3 to max.
  • Compare medians AND IQRs in context.

See the full worked example for cumulative frequency →

Quick recap

  • Cumulative frequency = running total. Plot at UPPER BOUND.
  • Curve is a smooth S (ogive).
  • Median at n/2n/2. Q1Q_1 at n/4n/4. Q3Q_3 at 3n/43n/4.
  • IQR = Q3−Q1Q_3 - Q_1 (middle 50% spread).
  • Box plot: 5-number summary.
  • Compare TWO things: medians + IQRs.
  • Always in context.

Memorise this

Verbatim phrases and definitions Edexcel mark schemes credit.

  • Plot at UPPER BOUND.
  • Median at y=n/2y = n/2.
  • Q1Q_1 at y=n/4y = n/4; Q3Q_3 at y=3n/4y = 3n/4.
  • IQR = Q3−Q1Q_3 - Q_1.
  • Compare: median (centre) + IQR (spread), in context.

How it’s examined

Cumulative frequency + box plots is a 6-8 mark question on Paper 2H every series. Compare-two-distributions is the most common follow-up. Examiner reports flag: (1) plotting at midpoints, (2) drawing straight lines instead of a curve, (3) comparison statements without context.

Sources: Pearson Edexcel International GCSE Mathematics A 4MA1 specification (2026 onwards); 4MA1 Examiner Reports — Jan and May/Jun 2022-2024 series; Past Papers — 4MA1/2H May/Jun 2024, 4MA1/1H Jan 2024. Last reviewed 2026-05-07.

Worked ExamplesStep-by-step solutions to past-paper-style questions

Step-by-step solutions to past-paper-style questions on cumulative frequency, written exactly the way a tutor would explain them at the board.

  1. 1Build a cumulative frequency table

    Foundation• cumulative frequency
    ▼

    Question

    Times: 0≤t<100 \le t < 10 (5), 10≤t<2010 \le t < 20 (12), 20≤t<3020 \le t < 30 (8), 30≤t<4030 \le t < 40 (5). Construct cumulative frequency.

    Step-by-step solution

    1. Step 1

      Cumulative = running total of frequencies.

    2. Step 2

      5,5+12=17,17+8=25,25+5=305, 5+12=17, 17+8=25, 25+5=30.

    Answer

    5,17,25,305, 17, 25, 30

    Examiner tip

    Plot cumulative frequency at the UPPER BOUND of each class.

  2. 2Median from cumulative frequency curve

    Higher• Adapted from 4MA1/2H May/Jun 2024 Q17• median
    ▼

    Question

    60 students. Read the median from the curve.

    Step-by-step solution

    1. Step 1

      Median position: n/2=30n/2 = 30 on the y-axis.

    2. Step 2

      Read across to the curve, then down to the x-axis. The x-value is the median.

    Answer

    Median = (whatever the x-value is at y=30y = 30).

    Examiner tip

    Use n/2n/2 for cumulative frequency curves (not (n+1)/2(n+1)/2). Mark schemes accept ±1 unit tolerance for graph readings.

  3. 3Interquartile range

    Higher• IQR
    ▼

    Question

    n=60n = 60. Lower quartile from y=15y = 15, upper quartile from y=45y = 45. If Q1=18Q_1 = 18 and Q3=32Q_3 = 32, find IQR.

    Step-by-step solution

    1. Step 1

      IQR = Q3−Q1Q_3 - Q_1.

    2. Step 2

      32−18=1432 - 18 = 14.

    Answer

    IQR = 1414

  4. 4Box plot from a five-number summary

    Higher• Adapted from 4MA1/1H Jan 2024 Q21• box plot
    ▼

    Question

    Min = 55, Q1=12Q_1 = 12, median = 1818, Q3=24Q_3 = 24, max = 4040. Describe the box plot.

    Step-by-step solution

    1. Step 1

      Whiskers from 5 to 12 and 24 to 40. Box from 12 to 24, median at 18.

    2. Step 2

      Note: the right whisker is much longer — distribution skewed right (positive skew).

    Answer

    Box: 12–24 with median at 18. Left whisker: 5–12. Right whisker: 24–40.

    Examiner tip

    Box plot summarises 5 numbers: min, Q1Q_1, median, Q3Q_3, max. Compare two box plots: comment on median (centre) AND IQR (spread).

  5. 5Where to read the upper quartile [1 mark]

    Getting started• Paper 1H/2H style — 1 mark• cumulative frequency, quartiles
    ▼

    Question

    A cumulative frequency graph shows information about the masses of 240240 parcels.

    Write down the cumulative frequency from which you would read across to estimate the upper quartile. [1]

    Step-by-step solution

    1. Step 1

      The upper quartile has three quarters of the data at or below it. For a cumulative frequency graph, use three quarters of the total frequency.

    2. Step 2

      B1 Three quarters of 240240:

      34×240=180\tfrac{3}{4} \times 240 = 180

    Answer

    180180

    Examiner tip

    Examiner tip: On a cumulative frequency graph use n4\tfrac{n}{4}, n2\tfrac{n}{2} and 3n4\tfrac{3n}{4} for the lower quartile, median and upper quartile. Here those are 6060, 120120 and 180180.

    Common mistake: Giving 6060, which is the position for the lower quartile, or reading across from 34\tfrac{3}{4} of the way along the horizontal axis.

  6. 6Number between two class boundaries [2 marks]

    Getting started• Paper 1H/2H style — 2 marks• cumulative frequency, reading tables
    ▼

    Question

    The cumulative frequency table gives information about the heights, hh cm, of 8080 students.

    • 140<h⩽150140 < h \leqslant 150: 1111
    • 140<h⩽160140 < h \leqslant 160: 2929
    • 140<h⩽170140 < h \leqslant 170: 5858
    • 140<h⩽180140 < h \leqslant 180: 7474
    • 140<h⩽190140 < h \leqslant 190: 8080

    Work out the number of students with a height greater than 150150 cm but no more than 170170 cm. [2]

    Step-by-step solution

    1. Step 1

      M1 5858 students are 170170 cm or less, and 1111 of them are 150150 cm or less. Subtract to leave those in between.

      58−1158 - 11

    2. Step 2

      A1

      58−11=4758 - 11 = 47

    Answer

    4747

    Examiner tip

    Examiner tip: A number between two values is always a difference of two cumulative frequencies. Here both values are class boundaries, so the table gives the answer exactly; on a curve you would read at both values.

    Common mistake: Adding the entries 11+29+5811 + 29 + 58, treating cumulative frequencies as if they were frequencies.

  7. 7Testing a claim about half of the group [2 marks]

    Getting started• Paper 1H/2H style — 2 marks• cumulative frequency, median
    ▼

    Question

    A cumulative frequency graph shows the times taken by 120120 runners to finish a race. The graph shows that 5858 runners took 3030 minutes or less.

    Ben says, "More than half of the runners finished in 3030 minutes or less."

    Is Ben correct? You must give a reason for your answer. [2]

    Step-by-step solution

    1. Step 1

      M1 Half of the runners is

      12×120=60\tfrac{1}{2} \times 120 = 60

    2. Step 2

      A1 Only 5858 runners took 3030 minutes or less, and 58<6058 < 60. So Ben is not correct. (This also means the median time is more than 3030 minutes.)

    Answer

    No, because 5858 is less than 6060, which is half of 120120.

    Examiner tip

    Examiner tip: "You must give a reason" means the numbers must appear in your answer. Compare the reading with half the total, then state the decision.

    Common mistake: Saying "yes" because 5858 is close to 6060, or writing "No" with no working, which scores nothing.

  8. 8Percentage above a reading on the curve [3 marks]

    Building confidence• Paper 1H/2H style — 3 marks• cumulative frequency, percentages
    ▼

    Question

    The speeds of 250250 cars on a road were recorded and a cumulative frequency graph was drawn. Reading from the curve, the cumulative frequency at a speed of 7070 km/h is 190190.

    Estimate the percentage of the cars that were travelling faster than 7070 km/h. [3]

    Step-by-step solution

    1. Step 1

      M1 The curve counts cars at 7070 km/h or less, so the cars travelling faster are

      250−190=60250 - 190 = 60

    2. Step 2

      M1 Write this as a percentage of all 250250 cars.

      60250×100\frac{60}{250} \times 100

    3. Step 3

      A1

      60250×100=24%\frac{60}{250} \times 100 = 24\%

    Answer

    24%24\%

    Examiner tip

    Examiner tip: "Faster than" or "more than" means subtract the reading from the total before working out the percentage.

    Common mistake: Giving 190250×100=76%\frac{190}{250} \times 100 = 76\%, which is the percentage at or below 7070 km/h.

  9. 9Comparing two groups of different sizes from readings [4 marks]

    Building confidence• Paper 1H/2H style — 4 marks• cumulative frequency, comparing distributions
    ▼

    Question

    Cumulative frequency graphs are drawn for the times, in seconds, that two groups took to type a paragraph. Group A has 8080 people and Group B has 120120 people. These readings are taken from the two curves.

    Group A:

    • cumulative frequency 2020: 3434 seconds
    • cumulative frequency 3030: 3838 seconds
    • cumulative frequency 4040: 4141 seconds
    • cumulative frequency 6060: 5050 seconds

    Group B:

    • cumulative frequency 3030: 3838 seconds
    • cumulative frequency 4040: 4040 seconds
    • cumulative frequency 6060: 4343 seconds
    • cumulative frequency 9090: 4747 seconds

    Compare the distributions of the times for the two groups. [4]

    Step-by-step solution

    1. Step 1

      B1 Group A (n=80n = 80): median at 4040 is 4141 s; quartiles at 2020 and 6060 are 3434 s and 5050 s, so the interquartile range is 50−34=1650 - 34 = 16 s.

    2. Step 2

      B1 Group B (n=120n = 120): median at 6060 is 4343 s; quartiles at 3030 and 9090 are 3838 s and 4747 s, so the interquartile range is 47−38=947 - 38 = 9 s.

    3. Step 3

      B1 Group A has the lower median (4141 s against 4343 s), so on average Group A typed the paragraph faster.

    4. Step 4

      B1 Group B has the smaller interquartile range (99 s against 1616 s), so Group B's times were more consistent.

    Answer

    A: median 4141 s, IQR 1616 s. B: median 4343 s, IQR 99 s. Group A was faster on average; Group B's times were more consistent.

    Examiner tip

    Examiner tip: The two groups have different totals, so the reading positions are different: 2020, 4040, 6060 for Group A but 3030, 6060, 9090 for Group B. Work these out before choosing readings.

    Common mistake: Using a cumulative frequency of 4040 for both medians, which gives 4040 s for Group B, the wrong value. A lower median for times means faster, not slower; say what the numbers mean in context.

  10. 10Combining two cumulative frequency tables [5 marks]

    Stretch• Paper 1H/2H style — 5 marks• cumulative frequency, median
    ▼

    Question

    The cumulative frequency tables give information about the test scores, ss, of the 5050 students in Class X and the 7070 students in Class Y.

    Class X:

    • 0<s⩽200 < s \leqslant 20: 44
    • 0<s⩽400 < s \leqslant 40: 1515
    • 0<s⩽600 < s \leqslant 60: 3333
    • 0<s⩽800 < s \leqslant 80: 4646
    • 0<s⩽1000 < s \leqslant 100: 5050

    Class Y:

    • 0<s⩽200 < s \leqslant 20: 33
    • 0<s⩽400 < s \leqslant 40: 1717
    • 0<s⩽600 < s \leqslant 60: 4141
    • 0<s⩽800 < s \leqslant 80: 6262
    • 0<s⩽1000 < s \leqslant 100: 7070

    (a) Work out the cumulative frequencies for all 120120 students together. [2]

    (b) Write down the class interval that contains the median score of all 120120 students. [1]

    (c) Work out the number of the 120120 students who scored more than 6060. [2]

    Step-by-step solution

    1. Step 1

      M1 (a) At each upper boundary, the number of students up to that score is the Class X count plus the Class Y count.

      4+3,15+17,33+41,46+62,50+704 + 3,\quad 15 + 17,\quad 33 + 41,\quad 46 + 62,\quad 50 + 70

    2. Step 2

      A1

      7, 32, 74, 108, 1207,\ 32,\ 74,\ 108,\ 120

    3. Step 3

      B1 (b) The median is read at 12×120=60\tfrac{1}{2} \times 120 = 60. The combined cumulative frequency passes 6060 between 3232 (at 4040) and 7474 (at 6060), so the median is in 40<s⩽6040 < s \leqslant 60.

    4. Step 4

      M1 (c) 7474 students scored 6060 or less, so those scoring more than 6060 are

      120−74120 - 74

    5. Step 5

      A1

      120−74=46120 - 74 = 46

    Answer

    (a) 77, 3232, 7474, 108108, 120120 (b) 40<s⩽6040 < s \leqslant 60 (c) 4646

    Examiner tip

    Examiner tip: Cumulative frequencies for the same class boundaries can be added across groups, because each one counts students up to the same score. You cannot combine two medians or two interquartile ranges this way.

    Common mistake: Averaging the two classes' medians, or finding the median class of each class separately. The median of all 120120 students must come from the combined running totals.

Model AnswersFull mark-scheme-style answers

  • Question 1

    Paper 1H/2H style — 1 mark1 mark

    Nadia is drawing a cumulative frequency graph. In her table, the class 20<m⩽3020 < m \leqslant 30 has a cumulative frequency of 4747.

    Explain why she should plot the point (30,47)(30, 47) and not (25,47)(25, 47). [1]

    Model answer

    4747 is the number of values that are 3030 or less. We only know that all 4747 values are at most 3030; some of them are between 2525 and 3030, so 4747 values are not all 2525 or less.

    Why this scores

    Mark scheme:

    • B1 for an explanation that the cumulative frequency counts all values up to the upper class boundary (3030), not the midpoint

    Why this scores full marks: The candidate says what the 4747 counts and why that fixes the point at the end of the class. "Because you always use the upper bound" states the rule without explaining it and would not score.

  • Question 2

    Paper 1H/2H style — 2 marks2 marks

    The cumulative frequency table gives information about the masses, mm grams, of 6464 tomatoes.

    • 50<m⩽6050 < m \leqslant 60: 55
    • 50<m⩽7050 < m \leqslant 70: 1818
    • 50<m⩽8050 < m \leqslant 80: 4040
    • 50<m⩽9050 < m \leqslant 90: 5656
    • 50<m⩽10050 < m \leqslant 100: 6464

    What fraction of the tomatoes had a mass of more than 8080 grams? Give your answer in its simplest form. [2]

    Model answer

    64−40=2464 - 40 = 24 tomatoes had a mass of more than 8080 g.

    2464=38\frac{24}{64} = \frac{3}{8}

    Answer: 38\dfrac{3}{8}

    Why this scores

    Mark scheme:

    • M1 for 64−4064 - 40 (=24= 24) or 2464\frac{24}{64} oe
    • A1 for 38\frac{3}{8} cao

    Why this scores full marks: The candidate subtracts the cumulative frequency at 8080 g from the total, then simplifies fully. Leaving 2464\frac{24}{64} loses the A mark when the simplest form is asked for, and 4064\frac{40}{64} answers the opposite question.

  • Question 3

    Paper 1H/2H style — 2 marks2 marks

    A cumulative frequency graph shows the ages of the 300300 members of a sports club. These readings are taken from the curve.

    • age 2020: cumulative frequency 3636
    • age 2525: cumulative frequency 7575
    • age 3030: cumulative frequency 132132
    • age 3535: cumulative frequency 190190
    • age 4040: cumulative frequency 225225
    • age 4545: cumulative frequency 262262

    Find an estimate for the interquartile range of the ages. [2]

    Model answer

    14×300=75\tfrac{1}{4} \times 300 = 75, which is at age 2525.

    34×300=225\tfrac{3}{4} \times 300 = 225, which is at age 4040.

    40−25=1540 - 25 = 15

    Answer: 1515 years

    Why this scores

    Mark scheme:

    • M1 for using cumulative frequencies 7575 and 225225 to give ages 2525 and 4040
    • A1 for 1515 cao

    Why this scores full marks: The candidate works out the two reading positions first and then finds them in the list. The median reading (150150) is not needed, and neither are the other rows.

  • Question 4

    Paper 1H/2H style — 3 marks3 marks

    A cumulative frequency graph shows the masses of 160160 apples. Reading from the curve, 2828 apples have a mass of 120120 g or less, and 104104 apples have a mass of 150150 g or less.

    (a) Estimate the number of apples with a mass of more than 120120 g but no more than 150150 g. [2]

    (b) One of the 160160 apples is picked at random. Estimate the probability that its mass is more than 120120 g but no more than 150150 g. [1]

    Model answer

    (a) 104−28=76104 - 28 = 76

    Answer: 7676

    (b) 76160=1940\frac{76}{160} = \frac{19}{40}

    Answer: 1940\dfrac{19}{40}

    Why this scores

    Mark scheme:

    • M1 for 104−28104 - 28
    • A1 for 7676 cao
    • B1 for 76160\frac{76}{160} oe, ft their answer to (a)

    Why this scores full marks: The difference of two readings gives the number between the two masses, and the probability is that number out of all 160160 apples. The probability is written as a fraction, not as a ratio such as 76:16076 : 160.

  • Question 5

    Paper 1H/2H style — 3 marks3 marks

    Leon draws a cumulative frequency graph. To estimate the upper quartile, he reads across from a cumulative frequency of 105105.

    (a) Work out the number of values in Leon's data. [1]

    (b) Write down the cumulative frequency he should use to estimate the median. [1]

    (c) Leon's estimate of the lower quartile is 1414 minutes. Estimate the number of values greater than 1414 minutes. [1]

    Model answer

    (a) 34n=105\tfrac{3}{4}n = 105, so n=105÷3×4=140n = 105 \div 3 \times 4 = 140

    Answer: 140140

    (b) 12×140=70\tfrac{1}{2} \times 140 = 70

    Answer: 7070

    (c) The lower quartile is read at 14×140=35\tfrac{1}{4} \times 140 = 35, so about 3535 values are 1414 minutes or less.

    140−35=105140 - 35 = 105

    Answer: 105105

    Why this scores

    Mark scheme:

    • B1 for 140140
    • B1 for 7070 ft their nn
    • B1 for 105105 ft their nn

    Why this scores full marks: The candidate reverses the quartile rule: 105105 is three quarters of the total, so the total is 43\tfrac{4}{3} of 105105. Dividing 105105 by 33 and stopping, or multiplying by 0.750.75, are the usual slips. In (c) no graph is needed: a quarter of the values lie at or below the lower quartile, so three quarters lie above it.

  • Question 6

    Paper 1H/2H style — 4 marks4 marks

    Two machines, A and B, fill bottles that should contain 500500 ml of juice. A sample of bottles from each machine was measured and cumulative frequency graphs were drawn. The estimates from the graphs are:

    • Machine A: lower quartile 497497 ml, median 501501 ml, upper quartile 506506 ml
    • Machine B: lower quartile 492492 ml, median 499499 ml, upper quartile 511511 ml

    The factory wants the volumes to be close to 500500 ml with as little variation as possible. Which machine should the factory use? Give reasons for your answer. [4]

    Model answer

    Machine A: IQR=506−497=9\text{IQR} = 506 - 497 = 9 ml

    Machine B: IQR=511−492=19\text{IQR} = 511 - 492 = 19 ml

    Both medians are within 11 ml of 500500 ml (501501 and 499499), so on average both machines fill close to the target.

    Machine A has the smaller interquartile range, so its volumes vary less.

    Answer: Machine A, because its median is as close to 500500 ml as B's and its volumes are more consistent.

    Why this scores

    Mark scheme:

    • B1 for the interquartile range of A, 99
    • B1 for the interquartile range of B, 1919
    • B1 for a correct comment about the medians, e.g. both are within 11 ml of 500500 ml
    • B1 for Machine A with a reason based on its smaller interquartile range (more consistent volumes)

    Why this scores full marks: The candidate uses both conditions in the question: the medians show both machines are on target, and the interquartile ranges decide between them. Choosing B "because its median is lower" ignores the variation, which is what separates the machines.

  • Question 7

    Paper 1H/2H style — 4 marks4 marks

    A cumulative frequency graph shows the times taken for 300300 downloads of an app. Reading from the curve, 249249 downloads took 88 seconds or less.

    The company claims, "Fewer than 15%15\% of downloads take longer than 88 seconds."

    (a) Is the company's claim correct? Show your working. [3]

    (b) Explain why your answer to (a) is based on an estimate. [1]

    Model answer

    (a) 300−249=51300 - 249 = 51 downloads took longer than 88 seconds.

    51300×100=17%\frac{51}{300} \times 100 = 17\%

    17%>15%17\% > 15\%, so the claim is not correct.

    (b) The 249249 was read from a curve drawn from grouped data, so the exact number of downloads taking 88 seconds or less is not known.

    Why this scores

    Mark scheme:

    • M1 for 300−249300 - 249 (=51= 51)
    • M1 for 51300×100\frac{51}{300} \times 100 oe, or 0.15×3000.15 \times 300 (=45= 45) to compare with 5151
    • A1 for 17%17\% (or 51>4551 > 45) and a correct conclusion that the claim is not correct
    • B1 for a correct explanation, e.g. the reading comes from a curve drawn from grouped data

    Why this scores full marks: The candidate compares like with like, percentage with percentage, and states a conclusion. Working out 249300=83%\frac{249}{300} = 83\% and stopping answers a different question.

  • Question 8

    Paper 1H/2H style — 5 marks5 marks

    The table gives information about the ages, aa years, of 100100 people on a train.

    • 0<a⩽200 < a \leqslant 20: frequency 1616
    • 20<a⩽4020 < a \leqslant 40: frequency 3434
    • 40<a⩽6040 < a \leqslant 60: frequency 2828
    • 60<a⩽8060 < a \leqslant 80: frequency 2222

    (a) Complete the cumulative frequency table. [1]

    (b) Write down the coordinates of the points you would plot to draw the cumulative frequency graph. [1]

    (c) A cumulative frequency curve is drawn through the points. Reading from the curve, a cumulative frequency of 2525 is at age 2626, 5050 is at age 4040 and 7575 is at age 5858. Use these readings to estimate the median and the interquartile range of the ages. [3]

    Model answer

    (a) 1616, 5050, 7878, 100100

    (b) (0,0)(0, 0), (20,16)(20, 16), (40,50)(40, 50), (60,78)(60, 78), (80,100)(80, 100)

    (c) Median: 12×100=50\tfrac{1}{2} \times 100 = 50, at age 4040

    Quartiles: 14×100=25\tfrac{1}{4} \times 100 = 25 gives 2626; 34×100=75\tfrac{3}{4} \times 100 = 75 gives 5858

    58−26=3258 - 26 = 32

    Answer: median 4040 years, interquartile range 3232 years

    Why this scores

    Mark scheme:

    • B1 for 1616, 5050, 7878, 100100 cao
    • B1 for the points at the upper class boundaries, ft their table
    • B1 for a median of 4040
    • M1 for using the readings at 2525 and 7575
    • A1 for 3232 cao

    Why this scores full marks: Every point is at an upper class boundary, including the starting point (0,0)(0, 0), and each reading is taken from the correct fraction of 100100. Plotting at 1010, 3030, 5050, 7070 is the classic slip in (b).

  • Question 9

    Paper 1H/2H style — 5 marks5 marks

    A factory tests a sample of 120120 light bulbs and draws a cumulative frequency graph of their lifetimes. Reading from the curve, 8787 bulbs in the sample lasted 900900 hours or less.

    (a) The factory makes 50005000 bulbs. Estimate how many of the 50005000 bulbs will last more than 900900 hours. [4]

    (b) State one assumption you have made. [1]

    Model answer

    (a) 120−87=33120 - 87 = 33 bulbs in the sample lasted more than 900900 hours.

    33120=0.275\frac{33}{120} = 0.275

    0.275×5000=13750.275 \times 5000 = 1375

    Answer: 13751375

    (b) The sample of 120120 bulbs is representative of all 50005000 bulbs.

    Why this scores

    Mark scheme:

    • M1 for 120−87120 - 87 (=33= 33)
    • M1 for 33120\frac{33}{120} oe
    • M1 for their proportion ×5000\times 5000
    • A1 for 13751375 cao
    • B1 for a correct assumption, e.g. the sample is representative of all the bulbs

    Why this scores full marks: The candidate turns the sample reading into a proportion and scales it up, without rounding 0.2750.275 first. Using 87120\frac{87}{120} gives 36253625, the number lasting 900900 hours or less, which is the opposite of what was asked.

  • Question 10

    Paper 1H/2H style — 5 marks5 marks

    A cumulative frequency graph shows the journey times, tt minutes, of 200200 commuters. The points on the graph are (0,0)(0, 0), (10,14)(10, 14), (20,52)(20, 52), (30,118)(30, 118), (40,170)(40, 170) and (50,200)(50, 200).

    (a) Work out the frequency for each class 0<t⩽100 < t \leqslant 10, 10<t⩽2010 < t \leqslant 20, 20<t⩽3020 < t \leqslant 30, 30<t⩽4030 < t \leqslant 40 and 40<t⩽5040 < t \leqslant 50. [2]

    (b) Write down the class interval that contains the upper quartile. [1]

    (c) One of the commuters is chosen at random. Find the probability that their journey took more than 4040 minutes. [2]

    Model answer

    (a) 1414, 52−14=3852 - 14 = 38, 118−52=66118 - 52 = 66, 170−118=52170 - 118 = 52, 200−170=30200 - 170 = 30

    Answer: 1414, 3838, 6666, 5252, 3030

    (b) 34×200=150\tfrac{3}{4} \times 200 = 150, which is between 118118 and 170170.

    Answer: 30<t⩽4030 < t \leqslant 40

    (c) 30200=320\frac{30}{200} = \frac{3}{20}

    Answer: 320\dfrac{3}{20}

    Why this scores

    Mark scheme:

    • M1 for subtracting consecutive cumulative frequencies, at least two correct
    • A1 for 1414, 3838, 6666, 5252, 3030 cao
    • B1 for 30<t⩽4030 < t \leqslant 40
    • M1 for 200−170200 - 170 or 30200\frac{30}{200} oe
    • A1 for 320\frac{3}{20} oe (e.g. 0.150.15)

    Why this scores full marks: The candidate works back from the running totals, uses 34\tfrac{3}{4} of 200200 to place the upper quartile, and gives the probability as a fraction of all 200200 commuters. Giving the class with the greatest frequency (20<t⩽3020 < t \leqslant 30) in (b) confuses the upper quartile with the mode.

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