AQA AS Level Mathematics Paper 2, June 2025: Question 19
4 marks · Medium difficulty · Short Answer
Calculate summary statistics for carbon dioxide emissions from the Large Data Set and evaluate data validity across years.
Practise this questionQuestion
Question text
19 The table represents the frequency distribution of the CO2 emissions, x g/km of all of
the electric and electric/petrol BMW cars in the Large Data Set that were registered in
the South‑West in 2016.
x 0 13 45 49 77 78
Frequency 1 2 3 9 2 2
19 (a) State the number of electric cars in the distribution.
[1 mark]
19 (b) Find the mean of the CO2 emissions.
[1 mark]
19 (c) Find the standard deviation of the CO2 emissions.
[1 mark]
19 (d) Explain why it is not valid to compare the results from part (b) and part (c) with the
mean and standard deviation of the CO2 emissions of the electric and electric/petrol
BMW cars in the Large Data Set that were registered in the South‑West in 2002.
[1 mark]
Mark scheme
Show the mark scheme
Q Marking instructions AO Marks Typical solution
19(a) Deduces 1 2.2a B1 1
Subtotal 1
19(b) Obtains 48 1.1b B1 Mean = 48
CAO
Subtotal 1
19(c) Obtains AWRT 20.9 1.1b B1 Standard deviation = 20.9
Accept AWRT 21.4
Subtotal 1
19(d) Explains why it is not valid to 2.4 E1 The 2002 data does not contain
make the comparison. Must be any electric or electric/petrol cars.
clear that neither propulsion
type OE is in the 2002 data.
Subtotal 1
Question 19 Total 4
How to answer it
Analysing CO₂ Emissions from the Large Data Set
What this question tests
This 4-mark question assesses your familiarity with summary statistics and the AQA Large Data Set (LDS):
- Deduction from Context (AO2.2a): Understanding that pure electric cars have zero tailpipe CO₂ emissions.
- Statistical Calculations (AO1.1b): Efficiently calculating the mean and standard deviation from a discrete frequency distribution table using your scientific calculator.
- Large Data Set Contextual Knowledge (AO2.4): Recognizing structural historical differences between LDS survey years (2002 vs 2016).
Part (a): Number of Electric Cars
Deduce the frequency of pure electric vehicles
✅ Correct Answer
1
💡 Key Knowledge
Pure electric vehicles (propulsion type: Electric) do not produce direct carbon emissions. Therefore, their CO₂ emissions value is identically x = 0 g/km.
Looking at the table, the frequency for x = 0 is 1.
❌ Common Errors
- Summing all frequencies (19) assuming all cars in the table are electric.
- Confusing pure electric cars with hybrid/petrol-electric cars (which have low but non-zero emissions, e.g. 13, 45, 49 g/km).
🧠 Exam Technique
Read the question header carefully: it states the distribution contains "electric and electric/petrol BMW cars". A value of 0 g/km is the defining signature of pure electric propulsion.
Part (b): Mean of CO₂ Emissions
Calculate the mean value from a discrete frequency distribution
✅ Correct Answer
Mean = 48 (g/km)
📐 Step-by-Step Calculation
- Find total frequency (n):
n = Σf = 1 + 2 + 3 + 9 + 2 + 2 = 19 - Find sum of emissions (Σfx):
Σfx = (0 × 1) + (13 × 2) + (45 × 3) + (49 × 9) + (77 × 2) + (78 × 2)
Σfx = 0 + 26 + 135 + 441 + 154 + 156 = 912 - Compute mean (x̄):
x̄ = Σfx / n = 912 / 19 = 48
🧠 Calculator Shortcut
Do not calculate this by hand! Put your Casio calculator into Statistics Mode (1-Variable), ensure Frequency is ON, enter the table values, and read x̄ directly to save time and prevent arithmetic errors.
❌ Common Errors
- Dividing by 6 (the number of distinct rows/values) instead of 19 (the total frequency).
- Omitting the row x = 0 from the total frequency count.
Part (c): Standard Deviation
Determine the spread of emissions
✅ Correct Answer
Standard Deviation = 20.9 (g/km)
Accepts AWRT 20.9 (population σ) or AWRT 21.4 (sample s).
📐 Step-by-Step Calculation
- Calculate Σfx²:
Σfx² = (0²×1) + (13²×2) + (45²×3) + (49²×9) + (77²×2) + (78²×2)
Σfx² = 0 + 338 + 6075 + 21609 + 11858 + 12168 = 52048 - Population Standard Deviation (σ):
σ = √[(Σfx² / n) - (x̄)²]
σ = √[(52048 / 19) - 48²] = √[2739.368... - 2304] = √435.368... ≈ 20.865... ≈ 20.9 - Sample Standard Deviation (s):
s = √[52048 - (912²/19)] / 18 ≈ 21.43... ≈ 21.4
❌ Common Errors
- Forgetting to take the square root at the end, writing the variance (435.4) instead.
- Premature rounding during intermediate steps.
🧠 Exam Technique
Both population standard deviation (σx = 20.9) and sample standard deviation (sx = 21.4) are accepted on mark schemes for 1-mark standard deviation questions. Using the calculator's built-in stats output guarantees full marks.
Part (d): Validity of Comparison with 2002 LDS Data
Apply contextual knowledge of the Large Data Set
✅ Correct Answer
The 2002 data does not contain any electric or electric/petrol cars (or: neither propulsion type existed in the 2002 data set).
💡 Large Data Set Fact File
- The AQA Large Data Set contains car registration data from two separate years: 2002 and 2016.
- In 2002, all recorded cars were powered only by traditional internal combustion engines (Petrol and Diesel).
- Alternative propulsion types (Electric and Electric/Petrol hybrids) were only introduced in the 2016 data set.
❌ Common Errors (Zero Marks Awarded)
- "Sample size is too small" — Misses the core factual reality of the LDS.
- "Technology has changed since 2002" — Too vague; fails to address whether data exists to calculate stats.
- "Data was collected in different years so it cannot be compared" — Comparing across years is valid if the categories exist!
- Mentioning only one fuel type: you must be clear that neither electric nor hybrid cars were present in 2002.
🧠 Examiner Insight
Examiners deliberately write LDS questions to check if you have explored the actual spreadsheet. If a comparison is declared "not valid", check whether the subset you are asked to compare even exists in both years! You cannot calculate a mean or standard deviation of an empty set (frequency = 0).
Topics
Statistics · K: Statistical sampling · L: Data presentation and interpretation
Question and mark scheme from the AQA AS Level Mathematics examination, Paper 2, June 2025. QuestionVault is an independent revision resource; questions remain the copyright of the awarding body.