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Edexcel International A Level Maths · S1 · Statistics 1

Measures of location and dispersion

28 free, high-quality past-paper-style questions on Measures of location and dispersion for Edexcel IAL Maths, each with a full mark scheme. For when you have finished the past papers, or want to practise one topic at a time.IAL Maths notes and flashcards →Not sure of your level? Diagnostic test →Multiple choice or structured questions, with the mark scheme as a separate PDF.28 new this month · 231 marks · Updated 26 October 2026 · Created by Evan Kotronis with AI assistance · How questions are checked

1IALM-S1-2-B-01 S1 · ASEasy5 marks

The number of books, x, borrowed in one month by each of 50 members of a library is shown in the table.

Books, x01234
Frequency9171284

01234024681012141618Books, xFrequency
Figure: bar chart of the numbers of books borrowed
(a)

Write down the mode.

(1)
(b)

Find the median.

(2)
(c)

Find the mean number of books borrowed.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
mode = 1 bookB1
Part (b)
50/2 = 25, so the median is the mean of the 25th and 26th values; cumulative frequencies 9, 26, …M1
both are 1, so median = 1 bookA1
Part (c)
Σfx = 0 + 17 + 24 + 24 + 16 = 81M1
mean = 81 ÷ 50 = 1.62 booksA1

Exam tip: Write the cumulative frequencies above the table. The position of the median (here the 25th and 26th values) can then be read off without listing all 50 values.

2IALM-S1-2-B-02 S1 · ASEasy6 marks

The heights, in mm, of 11 seedlings grown in a tray are
23   31   18   27   35   29   22   40   26   33   24

(a)

Find the median and the lower and upper quartiles of the heights.

(3)
(b)

Find the interquartile range and the range.

(1)
(c)

The height recorded as 40 mm should have been 14 mm. Find the correct median.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
ordered: 18, 22, 23, 24, 26, 27, 29, 31, 33, 35, 40M1
median = 6th value = 27 mmA1
Q1 = 3rd value = 23 mm, Q3 = 9th value = 33 mmA1
Part (b)
IQR = 33 − 23 = 10 mm and range = 40 − 18 = 22 mm, ft their quartilesB1
Part (c)
new order 14, 18, 22, 23, 24, 26, 27, … ; the median is still the 6th valueM1
median = 26 mmA1

Common error: Finding the quartiles from the data in the order given. Always rearrange the values in order first; the position rule only works on ordered data.

3IALM-S1-2-B-03 S1 · ASEasy5 marks

The lengths, x cm, of 16 fish caught in a river are summarised by Σx = 512 and Σx2 = 16 960.

(a)

Find the mean length.

(1)
(b)

Find the standard deviation of the lengths.

(2)
(c)

Two more fish, of lengths 26 cm and 38 cm, are caught. Find the mean and the standard deviation of the lengths of all 18 fish.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
x = 512 ÷ 16 = 32 cmB1
Part (b)
σ2 = 16 960 ÷ 16 − 322 = 1060 − 1024 = 36M1
σ = 6 cmA1
Part (c)
Σx = 512 + 26 + 38 = 576 and Σx2 = 16 960 + 676 + 1444 = 19 080M1
mean = 576 ÷ 18 = 32 cm; σ2 = 19 080 ÷ 18 − 322 = 36, so σ = 6 cmA1

Exam tip: When values are added, update both sums and n, then use the formulae again. Here each new fish is exactly one standard deviation from the mean, so neither statistic changes.

4IALM-S1-2-B-04 S1 · ASEasy5 marks

The midday temperature, x °C, was recorded at a weather station on 10 days. The mean was 18.4 °C and the standard deviation was 3.5 °C. The temperatures are converted to degrees Fahrenheit, y °F, using y = 1.8x + 32.

(a)

Find the mean temperature in °F.

(2)
(b)

Find the standard deviation of the temperatures in °F.

(2)
(c)

Find the variance of the temperatures in °F.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
y = 1.8 × 18.4 + 32M1
= 65.12 °F (65.1 °F)A1
Part (b)
σy = 1.8 × 3.5, the + 32 does not affect the spreadM1
= 6.3 °FA1
Part (c)
6.32 = 39.69 (°F)2 (39.7), ft their (b)B1

Common error: Adding 32 to the standard deviation. Adding a constant moves every temperature by the same amount, so it changes the mean but not the spread.

5IALM-S1-2-FB-01 S1 · ASEasy6 marks

A survey recorded the number of passengers, x, including the driver, in each of 50 cars passing a checkpoint. Figure 1 shows the results.

1122334455number of passengers in the car, xnumber of passengers in the car, x002244668810101212141416161818frequencyfrequency
(a)

Find the median number of passengers.

(2)
(b)

Find the mean number of passengers.

(2)
(c)

Find the standard deviation of the number of passengers.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
50/2 = 25, so the median is the mean of the 25th and 26th values; cumulative frequencies 16, 30, …M1
both are 2, so median = 2 passengersA1
Part (b)
Σfx = 16 + 28 + 27 + 28 + 20 = 119M1
mean = 119 ÷ 50 = 2.38 passengersA1
Part (c)
Σfx2 = 16 + 56 + 81 + 112 + 100 = 365M1
σ2 = 365 ÷ 50 − 2.382 = 7.3 − 5.6644 = 1.6356, so σ = 1.28A1

Common error: Dividing Σfx by 5, the number of bars. The bar heights are frequencies, so the divisor is the total frequency, 50.

6IALM-S1-2-FB-02 S1 · ASEasy6 marks

Figure 1 shows the masses, in kg, of the 15 suitcases checked in for a small flight.

15892024473136842550Key: 2 | 4 means 24 kg
(a)

Find the median mass.

(1)
(b)

Find the lower quartile and the upper quartile.

(2)
(c)

Find the interquartile range and the range.

(1)
(d)

Given that Σx = 444, find the mean mass.

(1)
(e)

One more suitcase, of mass 26 kg, is then checked in. Find the median mass of the 16 suitcases.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
15/2 = 7.5, so the 8th value: median = 27 kgB1
Part (b)
15/4 = 3.75, so Q1 is the 4th value = 20 kgB1
3 × 15/4 = 11.25, so Q3 is the 12th value = 38 kgB1
Part (c)
IQR = 38 − 20 = 18 kg and range = 50 − 15 = 35 kg, ft their quartilesB1
Part (d)
444 ÷ 15 = 29.6 kgB1
Part (e)
16/2 = 8: mean of the 8th and 9th values, (26 + 27) ÷ 2 = 26.5 kgB1

Exam tip: A stem-and-leaf diagram already lists the data in order, so count leaves to reach the position you need. Read the key before writing any value.

7IALM-S1-2-FB-03 S1 · ASEasy5 marks

Figure 1 shows how many minutes late each of 10 trains arrived at a station one morning. A train that arrived on time is shown at 0.

0011223344556677889910101111number of minutes latenumber of minutes late
(a)

Find the median number of minutes late.

(1)
(b)

Find the mean number of minutes late.

(1)
(c)

Find the standard deviation of the number of minutes late.

(2)
(d)

The train that was 10 minutes late had been held by a signal failure. State, with a reason, whether the mean or the median better describes a typical delay that morning.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
mean of the 5th and 6th values: median = 2 minutesB1
Part (b)
Σx = 30, so mean = 30 ÷ 10 = 3 minutesB1
Part (c)
Σx2 = 0 + 1 + 1 + 4 + 4 + 4 + 9 + 16 + 25 + 100 = 164M1
σ2 = 164 ÷ 10 − 32 = 7.4, so σ = 2.72 minutesA1
Part (d)
the median: the mean is pulled up by the single extreme value of 10, but the median is not affected by itB1

Common error: Leaving out the train at 0. It arrived on time, but it is still one of the 10 values and counts in n.

8IALM-S1-2-FB-04 S1 · ASEasy6 marks

The distances, d km, cycled in one week by each of the 50 members of a cycling club are summarised in Figure 1. The classes are 10 ≤ d < 20, 20 ≤ d < 30, and so on up to 60 ≤ d < 70.

001010202030304040505060607070distance cycled, d (km)distance cycled, d (km)00224466881010121214141616frequencyfrequency
(a)

Write down the modal class.

(1)
(b)

Estimate the mean distance cycled.

(3)
(c)

Use interpolation to estimate the median distance.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
30 ≤ d < 40B1
Part (b)
frequencies 4, 9, 15, 12, 7, 3 with midpoints 15, 25, 35, 45, 55, 65B1
Σfd = 60 + 225 + 525 + 540 + 385 + 195 = 1930M1
mean ≈ 1930 ÷ 50 = 38.6 kmA1
Part (c)
position 25; cumulative frequencies 4, 13, 28, so the median is in 30–40: 30 + (25 − 13) ÷ 15 × 10M1
= 38 kmA1

Exam tip: For grouped continuous data the median is at position n/2, here the 25th value, and interpolation is done across the class boundaries 30 and 40.

9IALM-S1-2-B-05 S1 · ASMedium7 marks

The lengths, t minutes, of 60 telephone calls made from an office are summarised below.

Length, t (minutes)0 ≤ t < 22 ≤ t < 55 ≤ t < 1010 ≤ t < 2020 ≤ t < 30
Frequency14191593

025102030012345678Length t (minutes)Frequency density
Figure: histogram of the call lengths
(a)

Estimate the mean length of a call.

(3)
(b)

Given that Σft2 = 4990.5, estimate the standard deviation of the lengths.

(3)
(c)

Explain why your answers to (a) and (b) are estimates.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
midpoints 1, 3.5, 7.5, 15, 25B1
Σft = 14 + 66.5 + 112.5 + 135 + 75 = 403M1
mean ≈ 403 ÷ 60 = 6.72 minutesA1
Part (b)
σ2 = 4990.5 ÷ 60 − (403 ÷ 60)2M1
= 83.175 − 45.11… = 38.06…A1
σ ≈ 6.17 minutesA1
Part (c)
the individual lengths are not known; each value is assumed to lie at the midpoint of its classB1

Exam tip: Use the exact mean, 403/60, when you square it. Squaring the rounded 6.72 gives a slightly different variance.

10IALM-S1-2-B-06 S1 · ASMedium8 marks

The masses of 120 eggs, each recorded to the nearest gram, are summarised below.

Mass (g)45–4950–5455–5960–6465–74
Frequency1231402611

(a)

Write down the class boundaries and the class width of the class 65–74.

(1)
(b)

Identify the modal class, giving a reason.

(1)
(c)

Use interpolation to estimate the median mass.

(2)
(d)

Estimate the interquartile range of the masses.

(4)
Show mark scheme
AnswerMarkNotes
Part (a)
boundaries 64.5 g and 74.5 g, width 10 gB1
Part (b)
55–59: it has the highest frequency density, 40 ÷ 5 = 8 (the last class has density 1.1)B1
Part (c)
position 60; cumulative frequencies 12, 43, 83, so the median is in 55–59: 54.5 + (60 − 43) ÷ 40 × 5M1
= 56.6 g (56.625)A1
Part (d)
Q1: position 30, in 50–54: 49.5 + (30 − 12) ÷ 31 × 5M1
Q1 = 52.40…A1
Q3: position 90, in 60–64: 59.5 + (90 − 83) ÷ 26 × 5 = 60.84…A1
IQR ≈ 8.44 gA1

Model sketch

44.549.554.559.564.574.50123456789Mass (g)Frequency density
Figure: histogram of the egg masses

Common error: Interpolating from the stated limits (55 and 59) instead of the class boundaries (54.5 and 59.5). Masses to the nearest gram from 54.5 up to 59.5 are all recorded as 55–59.

11IALM-S1-2-B-07 S1 · ASMedium8 marks

The times, t minutes, taken by 200 runners to complete a 10 km road race are summarised below.

Time, t (min)35 ≤ t < 4040 ≤ t < 4545 ≤ t < 5050 ≤ t < 5555 ≤ t < 6565 ≤ t < 80
Frequency82654623812

3540455055658002468101214Time t (min)Frequency density
Figure: histogram of the race times
(a)

Use interpolation to estimate the median time.

(2)
(b)

Estimate the 10th and the 90th percentiles.

(3)
(c)

Hence find the 10th to 90th interpercentile range.

(1)
(d)

The fastest 5% of runners receive a medal. Estimate the time a runner needed to beat to receive a medal.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
position 100; cumulative frequencies 8, 34, 88, 150, so 50 + (100 − 88) ÷ 62 × 5M1
= 51.0 minutes (50.97…)A1
Part (b)
P10: position 20, 40 + (20 − 8) ÷ 26 × 5 or P90: position 180, 55 + (180 − 150) ÷ 38 × 10M1
P10 = 42.3 minutes (42.30…)A1
P90 = 62.9 minutes (62.89…)A1
Part (c)
62.89… − 42.30… = 20.6 minutes, ft their (b)B1
Part (d)
5% of 200 = 10th runner: 40 + (10 − 8) ÷ 26 × 5M1
= 40.4 minutes (40.38…)A1

Exam tip: The 5th, 10th and 90th percentiles use the same interpolation as the median: find the position r × n ÷ 100 first, then the class it falls in.

12IALM-S1-2-B-08 S1 · ASMedium7 marks

The weekly rents, £x, of 40 flats in a town are coded using y = x − 400⁄25. The coded data give Σy = −18 and Σy2 = 290.

(a)

Find the mean and the standard deviation of y.

(3)
(b)

Hence find the mean and the standard deviation of the weekly rents.

(3)
(c)

Find the value of Σx.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
y = −18 ÷ 40 = −0.45B1
σy2 = 290 ÷ 40 − (−0.45)2 = 7.25 − 0.2025 = 7.0475M1
σy = 2.654…A1
Part (b)
x = 25y + 400M1
x = 25 × (−0.45) + 400 = £388.75A1
σx = 25 × 2.654… = £66.4A1
Part (c)
Σx = 40 × 388.75 = 15 550, ft their meanB1

Common error: Decoding with the wrong operation order: the coding subtracts 400 and then divides by 25, so decoding multiplies by 25 and then adds 400. The standard deviation is only multiplied by 25.

13IALM-S1-2-B-09 S1 · ASMedium8 marks

Two groups of students sat the same test. Group P had 24 students, with mean mark 58 and standard deviation 9. Group Q had 16 students, with mean mark 66 and standard deviation 7.

(a)

Show that, for the marks x of group P, Σx2 = 82 680.

(2)
(b)

Find the mean mark of all 40 students.

(2)
(c)

Find the standard deviation of the marks of all 40 students.

(3)
(d)

Explain why the standard deviation of all 40 marks is larger than the standard deviation of either group.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
92 = Σx2 ÷ 24 − 582M1
Σx2 = 24 × (81 + 3364) = 82 680A1
Part (b)
Σx = 24 × 58 + 16 × 66 = 1392 + 1056 = 2448M1
mean = 2448 ÷ 40 = 61.2A1
Part (c)
group Q: Σx2 = 16 × (49 + 4356) = 70 480B1
σ2 = (82 680 + 70 480) ÷ 40 − 61.22 = 3829 − 3745.44 = 83.56M1
σ = 9.14A1
Part (d)
the two group means are different (58 and 66), so combining the groups adds extra spread between themB1

Common error: Averaging the two means, (58 + 66) ÷ 2 = 62. The groups are different sizes, so the larger group must count more: add the totals and divide by 40.

14IALM-S1-2-B-11 S1 · ASMedium6 marks

Two machines, A and B, fill bags of flour labelled “500 g”. For a sample of bags from machine A, the mean mass was 502.0 g and the standard deviation was 3.2 g. For a sample of 20 bags from machine B, the masses x grams gave Σx = 10 010 and Σx2 = 5 010 420.

(a)

Find the mean and the standard deviation of the masses of the bags from machine B.

(3)
(b)

Compare the masses of the bags filled by the two machines.

(2)
(c)

Suggest, with a reason, which machine is more likely to produce bags with a mass below 500 g.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
mean = 10 010 ÷ 20 = 500.5 gB1
σ2 = 5 010 420 ÷ 20 − 500.52 = 250 521 − 250 500.25 = 20.75M1
σ = 4.56 gA1
Part (b)
machine A’s bags have a higher mean mass (502.0 g against 500.5 g), so they are heavier on averageB1
machine A has a smaller standard deviation (3.2 g against 4.56 g), so its masses are more consistentB1
Part (c)
machine B: its mean is closer to 500 g and its masses are more spread outB1

Exam tip: Each comparison needs the statistic, the direction and what it means in context. “Machine A has a smaller standard deviation, so its masses are more consistent” does all three.

15IALM-S1-2-FB-05 S1 · ASMedium8 marks

The lengths, x cm, of 80 leaves picked from a hedge are summarised in the histogram in Figure 1.

001122334455667788991010111112121313length, x (cm)length, x (cm)002244668810101212141416161818202022222424frequency densityfrequency density
(a)

Find the frequency of each class.

(2)
(b)

Estimate the mean length.

(2)
(c)

Estimate the standard deviation of the lengths.

(2)
(d)

Use interpolation to estimate the median length.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
frequency = frequency density × class width: 4 × 2, 14 × 1, 22 × 1, 12 × 2, 3 × 4M1
8, 14, 22, 24, 12 (total 80)A1
Part (b)
midpoints 3, 4.5, 5.5, 7, 10: Σfx = 24 + 63 + 121 + 168 + 120 = 496M1
mean ≈ 496 ÷ 80 = 6.2 cmA1
Part (c)
Σfx2 = 72 + 283.5 + 665.5 + 1176 + 1200 = 3397M1
σ2 = 3397 ÷ 80 − 6.22 = 42.4625 − 38.44 = 4.0225, so σ ≈ 2.01 cmA1
Part (d)
position 40; cumulative frequencies 8, 22, 44, so the median is in 5–6: 5 + (40 − 22) ÷ 22 × 1M1
= 5.82 cm (5.818…)A1

Common error: Taking the bar heights as the frequencies. In a histogram the area of a bar gives the frequency, so multiply each frequency density by its class width.

16IALM-S1-2-FB-06 S1 · ASMedium7 marks

The speeds, v km h−1, of 160 cars passing a speed camera were recorded. Figure 1 shows the cumulative frequency polygon, with the points plotted at the upper class boundaries.

3030404050506060707080809090speed, v (km h⁻¹)speed, v (km h⁻¹)002020404060608080100100120120140140160160cumulative frequencycumulative frequency
(a)

Use Figure 1, or interpolation, to estimate the median speed.

(2)
(b)

Estimate the interquartile range of the speeds.

(3)
(c)

Drivers whose speed is in the fastest 10% are sent a warning letter. Estimate the lowest speed for which a letter is sent.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
position 80, which lies in 50–60: 50 + (80 − 40) ÷ 52 × 10M1
= 57.7 km h−1 (allow 56.5–59 read from the graph)A1
Part (b)
Q1: position 40 gives 50 km h−1B1
Q3: position 120, 60 + (120 − 92) ÷ 44 × 10 = 66.4 (allow 65.5–67.5)M1
IQR ≈ 16.4 km h−1 (allow 15.5–17.5)A1
Part (c)
90th percentile: position 0.9 × 160 = 144M1
70 + (144 − 136) ÷ 16 × 10 = 75 km h−1 (allow 74–76)A1

Exam tip: Reading across from a cumulative frequency and down to the speed axis is the same as linear interpolation in the class, because the polygon joins the plotted points with straight lines.

17IALM-S1-2-FB-07 S1 · ASMedium7 marks

A consumer group measured the life, in hours, of a sample of batteries of each of two brands, P and Q, in the same toy. Figure 1 shows box plots of the results.

1010141418182222262630303434383842424646battery life (hours)battery life (hours)Brand PBrand PBrand QBrand Q
(a)

Write down the median and find the interquartile range for each brand.

(2)
(b)

Compare the battery lives of the two brands.

(2)
(c)

A customer wants the brand for which the greater proportion of batteries last at least 24 hours. Using Figure 1, state which brand this is, giving a reason.

(1)
(d)

The lives of the brand P batteries are converted into minutes. Find the median and the interquartile range in minutes.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
P: median 28 h, IQR = 32 − 24 = 8 hB1
Q: median 30 h, IQR = 38 − 22 = 16 hB1
Part (b)
brand Q has the higher median (30 h against 28 h), so its batteries tend to last slightly longerB1
brand Q has the larger IQR (16 h against 8 h), so its battery lives are much less consistentB1
Part (c)
brand P: its lower quartile is 24 h, so about 75% of P batteries last at least 24 h; for Q, 24 h lies above the lower quartile (22 h), so fewer than 75% of Q batteries doB1
Part (d)
median = 28 × 60 = 1680 minutesB1
IQR = 8 × 60 = 480 minutes, ft their (a)B1

Exam tip: A comparison needs one statement about location and one about spread, each with the statistic, the direction and its meaning in context.

18IALM-S1-2-FB-08 S1 · ASMedium8 marks

A bakery weighs 40 loaves, recording each mass, x grams, to the nearest 5 g. The masses are coded using y = x − 800⁄5. Figure 1 shows the coded masses.

−2−2−1−100112233coded mass, ycoded mass, y002244668810101212frequencyfrequency
(a)

Find the mean of y.

(2)
(b)

Find the standard deviation of y.

(2)
(c)

Hence find the mean and the standard deviation of the masses of the loaves.

(3)
(d)

Loaves with a recorded mass of less than 795 g are sold at a reduced price. Find how many of the 40 loaves are sold at a reduced price.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
Σfy = −6 − 7 + 0 + 10 + 12 + 6 = 15M1
y = 15 ÷ 40 = 0.375A1
Part (b)
Σfy2 = 12 + 7 + 0 + 10 + 24 + 18 = 71M1
σy2 = 71 ÷ 40 − 0.3752 = 1.634375, so σy = 1.28 (1.278…)A1
Part (c)
x = 5y + 800M1
x = 5 × 0.375 + 800 = 801.875 g (802 g to 3 s.f.)A1
σx = 5 × 1.278… = 6.39 gA1
Part (d)
795 g codes to y = −1, so only y = −2 (790 g) is below: 3 loavesB1

Common error: Decoding the standard deviation as 5σy + 800. Adding 800 moves every mass by the same amount, so it changes the mean but not the spread.

19IALM-S1-2-FB-09 S1 · ASMedium8 marks

The resting pulse rates, in beats per minute (bpm), of 11 athletes and 13 non-athletes were measured. Figure 1 shows the results.

AthletesAthletesNon-athletesNon-athletes485256861137024787040257814893Key: 8 | 4 | 6 means 48 bpm for an athlete and 46 bpm for a non-athlete
(a)

Find the median and the quartiles of the pulse rates of the athletes.

(3)
(b)

Find the median and the interquartile range of the pulse rates of the non-athletes.

(2)
(c)

Compare the pulse rates of the two groups.

(2)
(d)

One more athlete, with a pulse rate of 59 bpm, is measured. Find the median pulse rate of the 12 athletes.

(1)
Show mark scheme
AnswerMarkNotes
Part (a)
median = 6th value = 61 bpmB1
11/4 = 2.75, so Q1 = 3rd value = 55 bpmB1
8.25, so Q3 = 9th value = 67 bpmB1
Part (b)
median = 7th value = 72 bpmB1
Q1 = 4th value = 67, Q3 = 10th value = 81, so IQR = 14 bpm (allow Q1 = 65.5, Q3 = 82.5, IQR = 17 from the (n + 1)/4 rule)B1
Part (c)
the athletes have the lower median (61 bpm against 72 bpm), so their resting pulse rates are generally lowerB1
the athletes have the smaller IQR (12 bpm against 14 bpm), so their rates are less spread out, ft their IQRsB1
Part (d)
mean of the 6th and 7th values: (59 + 61) ÷ 2 = 60 bpmB1

Common error: Reading the left-hand leaves in the wrong direction. On the athletes’ side the leaves get larger moving away from the stem, so 7 3 1 1 | 6 means 61, 61, 63 and 67.

20IALM-S1-2-FB-10 S1 · ASMedium9 marks

Figure 1 shows a pie chart of the number of children, x, living in each of the 72 households in a street.

0 children0 children60°60°1 child1 child90°90°2 children2 children120°120°3 children3 children60°60°4 children4 children30°30°Number of childrenNumber of childrenliving in each of theliving in each of the72 households72 households
(a)

Find the number of households in each group.

(2)
(b)

Write down the mode.

(1)
(c)

Find the mean number of children per household.

(2)
(d)

Find the standard deviation of the number of children per household.

(2)
(e)

Find the median and the interquartile range.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
360° ÷ 72 = 5° for each householdM1
12, 18, 24, 12, 6 households for 0, 1, 2, 3, 4 childrenA1
Part (b)
2 childrenB1
Part (c)
Σfx = 0 + 18 + 48 + 36 + 24 = 126M1
mean = 126 ÷ 72 = 1.75A1
Part (d)
Σfx2 = 0 + 18 + 96 + 108 + 96 = 318M1
σ2 = 318 ÷ 72 − 1.752 = 1.354…, so σ = 1.16A1
Part (e)
cumulative frequencies 12, 30, 54, 66, 72; the 36th and 37th values are both 2, so median = 2B1
Q1 = 1 (18th and 19th values); Q3 = (2 + 3) ÷ 2 = 2.5 (54th and 55th values), so IQR = 1.5 (allow Q3 = 3, IQR = 2, or Q3 = 2.75, IQR = 1.75, from the (n + 1)/4 rule)B1

Exam tip: Here 3n/4 = 54 is a whole number, so Q3 is halfway between the 54th and 55th values. Those two values lie in different groups, so Q3 = 2.5.

21IALM-S1-2-B-10 S1 · ASHard10 marks

A researcher measured the reaction times, x milliseconds, of 30 adults. She found Σx = 7620 and Σx2 = 1 966 830.

(a)

Find the mean and the standard deviation of the reaction times.

(3)
(b)

She later discovers that one time recorded as 352 ms was actually 325 ms. Find the corrected mean.

(2)
(c)

Find the corrected standard deviation.

(3)
(d)

The corrected times are coded using y = x − 250⁄5. Find the mean and the standard deviation of y.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
mean = 7620 ÷ 30 = 254 msB1
σ2 = 1 966 830 ÷ 30 − 2542 = 65 561 − 64 516 = 1045M1
σ = 32.3 msA1
Part (b)
Σx = 7620 − 352 + 325 = 7593M1
mean = 7593 ÷ 30 = 253.1 msA1
Part (c)
Σx2 = 1 966 830 − 3522 + 3252M1
= 1 948 551A1
σ = √(1 948 551 ÷ 30 − 253.12) = √892.09 = 29.9 msA1
Part (d)
y = (253.1 − 250) ÷ 5 = 0.62, ft their (b)B1
σy = 29.86… ÷ 5 = 5.97, ft their (c)B1

Common error: Correcting Σx but forgetting Σx2. A changed value changes both sums: subtract the wrong value (or its square) and add the correct one.

22IALM-S1-2-B-12 S1 · ASHard12 marks

The lengths, l mm, of a sample of 100 bolts from a production line are summarised below.

Length, l (mm)40 ≤ l < 4444 ≤ l < 4646 ≤ l < 4848 ≤ l < 5050 ≤ l < 56
Frequency618352714
The class midpoints are coded using y = l − 47⁄2. You may use Σfy = 36 and Σfy2 = 208.5.

40444648505602468101214161820Length l (mm)Frequency density
Figure: histogram of the bolt lengths
(a)

Verify the value of Σfy.

(1)
(b)

Estimate the mean and the standard deviation of the lengths.

(5)
(c)

Use interpolation to estimate the median and the interquartile range.

(4)
(d)

Bolts with lengths less than 44 mm or at least 52 mm are rejected. Estimate the number of bolts in the sample that are rejected.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
y = −2.5, −1, 0, 1, 3, so Σfy = −15 − 18 + 0 + 27 + 42 = 36B1
Part (b)
y = 36 ÷ 100 = 0.36B1
σy2 = 208.5 ÷ 100 − 0.362 = 1.9554M1
σy = 1.398…A1
mean = 47 + 2 × 0.36 = 47.72 mm (47.7 mm)A1
s.d. = 2 × 1.398… = 2.80 mmA1
Part (c)
cumulative frequencies 6, 24, 59, 86, 100; median position 50: 46 + (50 − 24) ÷ 35 × 2M1
median = 47.5 mm (47.49…)A1
Q1 = 46 + (25 − 24) ÷ 35 × 2 = 46.06… and Q3 = 48 + (75 − 59) ÷ 27 × 2 = 49.19…M1
IQR = 3.13 mmA1
Part (d)
6 + (56 − 52) ÷ 6 × 14M1
= 15.3…, so about 15 boltsA1

Exam tip: With coded data, find the coded mean and standard deviation first, then decode once at the end: mean = 47 + 2ȳ and s.d. = 2σy.

23IALM-S1-2-B-13 S1 · ASHard12 marks

A driving school recorded the number of attempts, x, that each of its 60 students needed to pass a test. The mean number of attempts was 2.3.

Attempts, x12345
Frequency18p12q4

(a)

Show that p = 20 and q = 6.

(4)
(b)

Find the standard deviation of the number of attempts.

(3)
(c)

Find the median and the interquartile range.

(3)
(d)

The school charges a registration fee of $10 plus $15 for each attempt. Find the mean and the standard deviation of the amount paid by the 60 students.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
18 + p + 12 + q + 4 = 60, so p + q = 26B1
18 + 2p + 36 + 4q + 20 = 60 × 2.3 = 138, so 2p + 4q = 64B1
solving simultaneously, e.g. p + 2q = 32 minus p + q = 26M1
q = 6 and p = 20A1
Part (b)
Σfx2 = 18 + 80 + 108 + 96 + 100 = 402M1
σ2 = 402 ÷ 60 − 2.32 = 6.7 − 5.29 = 1.41M1
σ = 1.19A1
Part (c)
cumulative frequencies 18, 38, 50, 56, 60M1
median: mean of the 30th and 31st values = 2A1
Q1 = 1 (15th and 16th values), Q3 = 3 (45th and 46th values), IQR = 2A1
Part (d)
mean = 15 × 2.3 + 10 = $44.50B1
s.d. = 15 × 1.187… = $17.8, ft their (b)B1

Exam tip: Two unknown frequencies need two equations: one from the total frequency and one from Σfx = n × mean.

24IALM-S1-2-B-14 S1 · ASHard13 marks

The waiting times, x minutes, of 14 patients at a clinic one morning were
6   8   9   11   12   12   14   15   17   18   20   22   25   91
For these data Σx = 280 and Σx2 = 11 414.

(a)

Find the median and the interquartile range of the waiting times.

(3)
(b)

Find the mean and the standard deviation of the waiting times.

(3)
(c)

The patient who waited 91 minutes had arrived without an appointment, and their time is removed. Find the mean and the standard deviation of the remaining 13 times.

(4)
(d)

Find the median of the remaining 13 times.

(1)
(e)

Using your answers, explain which pair of statistics, median and interquartile range or mean and standard deviation, better summarises the original 14 waiting times.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
14/2 = 7, so the median is the mean of the 7th and 8th values = 14.5 minutesB1
Q1: 14/4 = 3.5 → 4th value = 11; Q3: 10.5 → 11th value = 20M1
IQR = 9 minutesA1
Part (b)
mean = 280 ÷ 14 = 20 minutesB1
σ2 = 11 414 ÷ 14 − 202 = 815.29 − 400 = 415.29M1
σ = 20.4 minutesA1
Part (c)
Σx = 280 − 91 = 189 and Σx2 = 11 414 − 912 = 3133M1
mean = 189 ÷ 13 = 14.5 minutes (14.53…)A1
σ2 = 3133 ÷ 13 − (189 ÷ 13)2 = 29.63…M1
σ = 5.44 minutesA1
Part (d)
13/2 = 6.5 → 7th value = 14 minutesB1
Part (e)
removing one value changed the mean from 20 to 14.5 and the s.d. from 20.4 to 5.44, but the median only from 14.5 to 14B1
so the median and IQR are better: they are not distorted by the extreme value of 91B1

Common error: Calling 20 minutes a typical wait. Only four of the 14 patients waited 20 minutes or more; the mean is pulled up by the single value of 91.

25IALM-S1-2-FB-11 S1 · ASHard12 marks

The times, t minutes, taken by 150 people to complete a crossword are summarised in the histogram in Figure 1. No scale is shown on the frequency density axis. The bar for 15 ≤ t < 20 represents 30 people.

551010151520202525303035354040454550505555time, t (minutes)time, t (minutes)frequency densityfrequency density
(a)

Find the frequency of each class.

(3)
(b)

Estimate the mean time.

(2)
(c)

Given that Σft2 = 105 675, estimate the standard deviation of the times.

(2)
(d)

Use interpolation to estimate the median time.

(2)
(e)

Estimate the interquartile range of the times.

(3)
Show mark scheme
AnswerMarkNotes
Part (a)
the bar for 15–20 covers 5 × 10 = 50 grid squares, so one square represents 30 ÷ 50 = 0.6 peopleM1
areas 20, 50, 80, 70, 30 squaresM1
frequencies 12, 30, 48, 42, 18 (total 150)A1
Part (b)
midpoints 12.5, 17.5, 22.5, 30, 42.5: Σft = 150 + 525 + 1080 + 1260 + 765 = 3780M1
mean ≈ 3780 ÷ 150 = 25.2 minutesA1
Part (c)
σ2 = 105 675 ÷ 150 − 25.22 = 704.5 − 635.04 = 69.46M1
σ ≈ 8.33 minutesA1
Part (d)
position 75; cumulative frequencies 12, 42, 90, so the median is in 20–25: 20 + (75 − 42) ÷ 48 × 5M1
= 23.4 minutes (23.44)A1
Part (e)
Q1: position 37.5, 15 + (37.5 − 12) ÷ 30 × 5 = 19.25M1
Q3: position 112.5, 25 + (112.5 − 90) ÷ 42 × 10 = 30.36A1
IQR ≈ 11.1 minutesA1

Exam tip: With no scale on the vertical axis, use the bar you are told about to find how many people one grid square represents. Frequency is proportional to area, so count squares, not heights.

26IALM-S1-2-FB-12 S1 · ASHard12 marks

Figure 1 shows the scores, x, of the 12 golfers in group 1 for the first round of a competition. The scores are coded using y = x − 72.

666668687070727274747676787880808282score for the round, xscore for the round, xPlayer APlayer APlayer BPlayer BPlayer CPlayer CPlayer DPlayer DPlayer EPlayer EPlayer FPlayer FPlayer GPlayer GPlayer HPlayer HPlayer IPlayer IPlayer JPlayer JPlayer KPlayer KPlayer LPlayer L
(a)

Show that Σy = 10 and Σy2 = 116.

(2)
(b)

Hence find the mean and the standard deviation of the scores in group 1.

(3)
(c)

The 8 golfers in group 2 had a mean score of 74.5 and a standard deviation of 2.5. Find the mean and the standard deviation of the scores of all 20 golfers.

(4)
(d)

Player E’s score included a 2-stroke penalty that was given in error, and it is corrected to 78. Find the corrected mean and standard deviation of the scores of all 20 golfers.

(3)
Show mark scheme
AnswerMarkNotes
Part (a)
y values 0, −4, 3, −1, 8, 0, −2, 2, 1, −1, 4, 0M1
Σy = 18 − 8 = 10 and Σy2 = 0 + 16 + 9 + 1 + 64 + 0 + 4 + 4 + 1 + 1 + 16 + 0 = 116A1
Part (b)
x = 72 + 10 ÷ 12 = 72.8 (72.83…)B1
σy2 = 116 ÷ 12 − (10⁄12)2 = 8.972…M1
σx = σy = 3.00 (2.995…)A1
Part (c)
Σx = (864 + 10) + 8 × 74.5 = 874 + 596 = 1470, so mean = 1470 ÷ 20 = 73.5B1
group 1: Σx2 = 116 + 2 × 72 × 10 + 12 × 722 = 63 764M1
group 2: Σx2 = 8 × (2.52 + 74.52) = 44 452M1
σ2 = 108 216 ÷ 20 − 73.52 = 8.55, so σ = 2.92A1
Part (d)
Σx = 1468, so mean = 73.4B1
Σx2 = 108 216 − 802 + 782 = 107 900M1
σ2 = 107 900 ÷ 20 − 73.42 = 7.44, so σ = 2.73A1

Common error: Combining the groups with Σy2 instead of Σx2. Coded sums from different codings cannot be added; rebuild each group’s Σx2 from Σx2 = n(σ2 + x2) first.

27IALM-S1-2-FB-13 S1 · ASHard12 marks

Figure 1 shows the number of visitors, x, to a museum on each of 12 consecutive days. Each point lies on a gridline intersection. The values are coded using y = x − 300⁄10.

112233445566778899101011111212dayday240240260260280280300300320320340340360360380380400400420420number of visitorsnumber of visitors
(a)

Find Σy and Σy2.

(2)
(b)

Hence find the mean and the standard deviation of the number of visitors per day.

(4)
(c)

Find the median number of visitors per day.

(2)
(d)

The number of visitors on the 13th day is then recorded. The mean for the 13 days is 325. Find the number of visitors on the 13th day.

(2)
(e)

Find the standard deviation of the number of visitors for the 13 days.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
y values −2, 1, 5, −4, 0, 3, 11, −1, 2, −3, 4, 8M1
Σy = 24 and Σy2 = 270A1
Part (b)
y = 24 ÷ 12 = 2B1
σy2 = 270 ÷ 12 − 22 = 18.5M1
x = 10 × 2 + 300 = 320A1
σx = 10 × √18.5 = 43.0A1
Part (c)
in order 260, 270, 280, 290, 300, 310, 320, …; the median is the mean of the 6th and 7th valuesM1
(310 + 320) ÷ 2 = 315A1
Part (d)
13 × 325 = 4225 and the first 12 days total 12 × 320 = 3840M1
4225 − 3840 = 385 visitorsA1
Part (e)
y = 8.5 for day 13: Σy = 32.5 and Σy2 = 270 + 72.25 = 342.25M1
σy2 = 342.25 ÷ 13 − 2.52 = 20.08…, so σx = 10 × 4.480… = 44.8A1

Exam tip: Coding with y = (x − 300) ÷ 10 turns three-digit values into small whole numbers. The mean decodes as 10y + 300, but the standard deviation is only multiplied by 10.

28IALM-S1-2-FB-14 S1 · ASHard13 marks

A factory inspects 40 batches made by shift A and 40 batches made by shift B, and records x, the number of faulty items in each batch. Figure 1 shows the results.

001122334455number of faulty items in a batchnumber of faulty items in a batch0022446688101012121414frequencyfrequencyShift A (solid)Shift A (solid)Shift B (hatched)Shift B (hatched)
(a)

Find the mean and the standard deviation of the number of faulty items per batch for shift A.

(4)
(b)

Find the mean and the standard deviation for shift B.

(3)
(c)

Find the median for each shift.

(2)
(d)

Compare the number of faulty items per batch for the two shifts.

(2)
(e)

Find the mean and the standard deviation of the number of faulty items per batch for all 80 batches.

(2)
Show mark scheme
AnswerMarkNotes
Part (a)
Σfx = 0 + 12 + 20 + 21 + 16 + 5 = 74M1
mean = 74 ÷ 40 = 1.85A1
Σfx2 = 0 + 12 + 40 + 63 + 64 + 25 = 204M1
σ2 = 204 ÷ 40 − 1.852 = 1.6775, so σ = 1.30A1
Part (b)
Σfx = 56, so mean = 1.4B1
Σfx2 = 0 + 10 + 28 + 45 + 48 + 25 = 156M1
σ2 = 3.9 − 1.96 = 1.94, so σ = 1.39A1
Part (c)
A: cumulative frequencies 6, 18, 28; the 20th and 21st values are both 2, so median = 2B1
B: cumulative frequencies 14, 24; the 20th and 21st values are both 1, so median = 1B1
Part (d)
shift B has fewer faulty items on average (mean 1.4 against 1.85, median 1 against 2)B1
the spreads are similar (standard deviations 1.39 and 1.30)B1
Part (e)
mean = (74 + 56) ÷ 80 = 1.625 (1.63)B1
σ2 = (204 + 156) ÷ 80 − 1.6252 = 1.859…, so σ = 1.36A1

Exam tip: To combine the shifts, add the totals Σfx and Σfx² for the two groups and use n = 80. Averaging the two standard deviations does not give the standard deviation of the combined data.