Please check the examination details below before entering your candidate information
Candidate surname Other names
Centre Number Candidate Number
Pearson Edexcel Level 1/Level 2 GCSE (9–1)
Monday 2 June 2025
Morning (Time: 1 hour 30 minutes) Paper
reference 1ST0/1H
Statistics
PAPER 1
Higher Tier
You must have: Total Marks
Ruler graduated in centimetres and millimetres, protractor,
pair of compasses, pen, HB pencil, eraser, scientific calculator.
, Higher Tier Formulae
You must not write on this page.
DO
DONOT
Anything you write on this page will gain NO credit.
NOTWRITE
WRITEIN
3(mean − median)
Skew =
standard deviation
INTHIS
THISAREA
1
Standard deviation =
n
( x x )2
AREA DO
An alternative formula for standard deviation is
2
standard deviation =
x 2
x
n
n
DONOT
Spearman’s rank correlation coefficient
NOTWRITE
6
d 2
WRITEIN
rs 1
n(n 2
1)
INTHIS
number of births × 1000
Rates of change (e.g. Crude birth rate = )
THISAREA DO
total population
AREA DONOT
NOTWRITE
WRITEIN
INTHIS
THISAREA
AREA
22
*P76385A0228*
*P75437A0220*
, Answer ALL the questions.
Write your answers in the spaces provided.
DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA 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
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
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
*P76385A0328* 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 DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA
Percentage change in mileage driven in 2020 to 2021
Key:
<10
10–12
12–13
Scotland
13–14
14
North East
England
Yorkshire and
North West the Humber
England
East
Midlands
West
East of
Midlands
England
Wales
South East
South West
England London
England
(Source: https://roadtraffic.dft.gov.uk)
4
*P76385A0428*
Candidate surname Other names
Centre Number Candidate Number
Pearson Edexcel Level 1/Level 2 GCSE (9–1)
Monday 2 June 2025
Morning (Time: 1 hour 30 minutes) Paper
reference 1ST0/1H
Statistics
PAPER 1
Higher Tier
You must have: Total Marks
Ruler graduated in centimetres and millimetres, protractor,
pair of compasses, pen, HB pencil, eraser, scientific calculator.
, Higher Tier Formulae
You must not write on this page.
DO
DONOT
Anything you write on this page will gain NO credit.
NOTWRITE
WRITEIN
3(mean − median)
Skew =
standard deviation
INTHIS
THISAREA
1
Standard deviation =
n
( x x )2
AREA DO
An alternative formula for standard deviation is
2
standard deviation =
x 2
x
n
n
DONOT
Spearman’s rank correlation coefficient
NOTWRITE
6
d 2
WRITEIN
rs 1
n(n 2
1)
INTHIS
number of births × 1000
Rates of change (e.g. Crude birth rate = )
THISAREA DO
total population
AREA DONOT
NOTWRITE
WRITEIN
INTHIS
THISAREA
AREA
22
*P76385A0228*
*P75437A0220*
, Answer ALL the questions.
Write your answers in the spaces provided.
DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA 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
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
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
*P76385A0328* 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 DO NOT WRITE IN THIS AREA DO NOT WRITE IN THIS AREA
Percentage change in mileage driven in 2020 to 2021
Key:
<10
10–12
12–13
Scotland
13–14
14
North East
England
Yorkshire and
North West the Humber
England
East
Midlands
West
East of
Midlands
England
Wales
South East
South West
England London
England
(Source: https://roadtraffic.dft.gov.uk)
4
*P76385A0428*
