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June 2025 Pearson Edexcel: GCSE (9–1) Statistics ISTO/IH – Paper 1 – Higher Tier – Merged Question Paper & Mark Scheme

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June 2025 Pearson Edexcel: GCSE (9–1) Statistics ISTO/IH – Paper 1 – Higher Tier – Merged Question Paper & Mark Scheme n   Higher Tier Formulae You must not write on this page. Anything you write on this page will gain NO credit. Skew = 3(mean  median) standard deviation Standard deviation = 1(x  x) 2 An alternative formula for standard deviation is x 2 x  2 standard deviation = n   n  Spearman’s rank correlation coefficient 6d 2 r s  1  n(n 2  1) Rates of change (e.g. Crude birth rate = number of births  1000 ) total population 2 ■■■■ DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA Answer ALL the questions. Write your answers in the spaces provided. You must write down all the stages in your working. 1 Rebecca collected data from the internet about the litter size of wild boar in France and in Italy. The frequency polygons give information about the litter sizes. 70 60 50 40 Frequency 30 20 10 Italy France 0 1 2 3 4 5 6 7 8 9 10 Litter size (Source: and ) Rebecca concludes that the average wild boar litter size in France is bigger than in Italy. (a) Do the frequency polygons support Rebecca’s conclusion? Give a reason for your answer. ............................................................................................................................. ..................................................................................................................... .................................................................................................................................. ................................................................................................................ (1) (b) Give another comparison of the distributions of the wild boar litter sizes in France and in Italy. ............................................................................................................................. ..................................................................................................................... .................................................................................................................................. ................................................................................................................ (1) (c) Discuss how the data collection could reduce the reliability of these conclusions. ............................................................................................................................. ........................................................ ............................................................. ............................................................................................................................. ............................................................. ........................................................ (1) (Total for Question 1 is 3 marks) ■■■■ 3 Turn over DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA 2 The choropleth map gives information about the percentage change in the mileage driven in Great Britain for each region from 2020 to 2021 Percentage change in mileage driven in 2020 to 2021 Key: <10 10–12 12–13 13–14 ≥14 Scotland North East England North West England West Yorkshire and the Humber East Midlands Wales Midlands East of England South West England South East England London (Source: ) 4 ■■■■ DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA The table shows the number of miles driven in London in 2020 and in 2021 16.6 billion miles 18.5 billion miles (a) Show that London has been shaded correctly on the choropleth map. (2) (b) Which region had the lowest percentage change in the mileage driven between 2020 and 2021? ............................................................................................................................. ........................ (1) Amy concludes that the percentage change in the mileage driven between 2020 and 2021 is the same for Wales and South West England. (c) Explain why Amy may not be correct. ............................................................................................................................. ..................................................................................................................... .................................................................................................................................. ................................................................................................................ (1) Tom concludes that the number of motor vehicles using the roads has increased the most in Scotland between 2020 and 2021 (d) Explain whether or not the choropleth map supports this conclusion. ............................................................................................................................. ..................................................................................................................... .................................................................................................................................. ................................................................................................................ ....................................................................................................................................... ........................................................................................................... (2) (Total for Question 2 is 6 marks) ■■■■ 5 Turn over DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA Best Actress 2 2 5 6 8 8 9 9 3 0 2 3 3 5 5 4 4 4 5 5 5 4 6 0 0 1 2 3 7 8 Best Actor 2 3 4 5 6 7 8 Key: 3 Tsena is researching the ages of Oscar winners. She has collected data from the internet about the ages of the winners of the Best Actor and Best Actress categories from 2000 to 2022 Data from the internet is an example of secondary data. (a) Explain what is meant by secondary data. ............................................................................................................................. ..................................................................................................................... .................................................................................................................................. ................................................................................................................ (1) Here are the ages of the winners of the Best Actor category from 2000 to 2022 60 50 54 (Source: and ) The stem and leaf diagram gives the ages of the winners of the Best Actress category from 2000 to 2022 (b) Complete the stem and leaf diagram with the ages of the winners of the Best Actor category. You should also complete the key. (Source: and ) 6 (3) ■■■■ DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA (c) Work out the median age for the winners of the Best Actress category from 2000 to 2022 ...................................................... (1) Michelle thinks it is more appropriate to use the interquartile range than the range as a measure of spread for these sets of data. (d) Give a reason why Michelle may think this. ............................................................................................................................. ..................................................................................................................... .................................................................................................................................. ................................................................................................................ (1) (e) Work out the interquartile range for the winners of the Best Actress category from 2000 to 2022 .................................................................................. (2) ■■■■ 7 Turn over DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA The table gives information about the ages of the winners of the Best Actor and Best Actress categories before 2000 It also gives information about the ages of the winners of the Best Actor category from 2000 to 2022 Best Actor category before 2000 Best Actress category before 2000 Best Actor category from 2000 to 2022 Best Actress category from 2000 to 2022 Median 42 33 44 Interquartile range 10.75 13.25 15 (f) Compare the distribution of ages for the winners of the Best Actor category with the distribution of ages for the winners of the Best Actress category. You may use the blank column in the table to record your answers to parts (c) and (e) to help you. You should interpret your comparisons in context. ............................................................................................................................. .......................................................................................

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June 2025 Pearson Edexcel: GCSE Statistics
Course
June 2025 Pearson Edexcel: GCSE Statistics











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June 2025 Pearson Edexcel: GCSE Statistics
Course
June 2025 Pearson Edexcel: GCSE Statistics

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Uploaded on
October 4, 2025
Number of pages
54
Written in
2025/2026
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Exam (elaborations)
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Candidate surname Other names


Centre Number Candidate Number




Paper


Statistics
🟐 🟐


PAPER 1 June 2025 Pearson Edexcel: GCSE (9–1) Statistics ISTO/IH –
Paper 1 – Higher Tier – Merged Question Paper & Mark
Higher Tier Scheme



Marks
Ruler graduated in centimetres and millimetres, protractor,
pair of compasses, pen, HB pencil, eraser, scientific calculator.


Instructions

•• Use black ink or ball‑point pen.
Fill in the boxes at the top of this page with your name,
centre number and candidate number.
•• Answer all questions.
Answer the questions in the spaces provided
– there may be more space than you need.
• Scientific calculators may be used.
• You must show all your working out with your answer clearly identified
at the end of your solution.

Information

•• The total mark for this paper is 80.
The marks for each question are shown in brackets
– use this as a guide as to how much time to spend on each question.

Advice
• Read each question carefully before you start to answer it.
• Check answer
Try to every question.
• your answers if you have time at the end.
Turn over


P76385A
©2025 Pearson Education Ltd.
Y:1/1/1/1/

, Higher Tier Formulae

You must not write on this page.




DO NOT WRITE IN THIS AREA
Anything you write on this page will gain NO credit.


3(mean  median)
Skew =
standard deviation


 (x  x )2
1
Standard deviation =
n


An alternative formula for standard deviation is

 x2 x
2

standard deviation =  
n n 





DO NOT WRITE IN THIS AREA

Spearman’s rank correlation coefficient

6d 2
rs  1 
n(n2  1)
number of births  1000
Rates of change (e.g. Crude birth rate = )
total population




DO NOT WRITE IN THIS AREA




2

■■■■

, Answer ALL the questions.
Write your answers in the spaces provided.
DO NOT WRITE IN THIS AREA




You must write down all the stages in your working.
1 Rebecca collected data from the internet about the litter size of wild boar in France and
in Italy.
The frequency polygons give information about the litter sizes.

70

60

50

40
Frequency
30
France
20
DO NOT WRITE IN THIS AREA




10 Italy

0
1 2 3 4 5 6 7 8 9 10
Litter size
(Source: www.academic.oup.com and www.researchgate.net)
Rebecca concludes that the average wild boar litter size in France is bigger than in Italy.
(a) Do the frequency polygons support Rebecca’s conclusion?
Give a reason for your answer.

............................................................................................................................. .....................................................................................................................



.................................................................................................................................. ................................................................................................................

(1)
(b) Give another comparison of the distributions of the wild boar litter sizes in France
DO NOT WRITE IN THIS AREA




and in Italy.

............................................................................................................................. .....................................................................................................................



.................................................................................................................................. ................................................................................................................

(1)
(c) Discuss how the data collection could reduce the reliability of these conclusions.

............................................................................................................................. ........................................................ .............................................................



............................................................................................................................. ............................................................. ........................................................

(1)
(Total for Question 1 is 3 marks)
3

■■■■ Turn over

, 2 The choropleth map gives information about the percentage change in the mileage
driven in Great Britain for each region from 2020 to 2021




DO NOT WRITE IN THIS AREA
Percentage change in mileage driven in 2020 to 2021




Key:

<10


10–12


12–13

Scotland




DO NOT WRITE IN THIS AREA
13–14


≥14



North East
England

Yorkshire and
North West the Humber
England
East
Midlands
West
Midlands East of
DO NOT WRITE IN THIS AREA

England
Wales


South East
South West
England London
England




(Source: https://roadtraffic.dft.gov.uk)




4

■■■■

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