GCSE  Data
Handling

Foundation
only 
Foundation and Higher

Higher only 

COLLECTING
DATA
Specification

Learning
objectives 
Grade

Resources

Decide what data to collect
design
and use data collection sheets for
grouped, discrete and continuous
data.

Design and use tally charts for
discrete and grouped data. 
G

W
survey  finding the most common letters

Identify
which primary data they need to collect
and in what format, including grouped
data, considering appropriate equal
class intervals 
Classify and know the difference
between various types of data 
D


collect data using various
methods, including observation,
controlled experiment, data logging,
questionnaires and surveys
gather data from
secondary sources, including printed
tables and lists from ICTbased
sources
select and justify a
sampling scheme and a method to
investigate a population, including
random and stratified sampling

Design and use data collection
sheets and questionnaires 
D

P
explaining rules for questionnaires
W
notes on questionnaire design
W
prompts for questionnaire design
W
questionnaires  exam style questions
P
W
criticising questionnaires

Identify possible sources of bias
in the design of data collection sheets
and questionnaires 
C


Use a variety of different
sampling methods 
D

W
random number table
W
simple random sampling methods
W
two sampling tasks

Use stratified sampling methods

A

P
P
explaining simple and stratified
sampling

design
and use twoway tables for discrete
and grouped data.

design and use twoway tables for
discrete and grouped data.

E

P
explaining two way tables using magic
square and exam question
P
P
Practice questions
W
two way tables worksheets
F
(F)
various questions (with answers)
F
(F)
Exam questions (and answers)
F
(F)
Exit Cards (and answers)
F
F
(F)
(F)
Whats the story?
F
F
(F)
(F)
Who is right?
P
Find Probobilities

deal with
practical problems such as nonresponse
or missing data 



REPRESENTING
DATA
AND INTERPRETING INFORMATION
Specification 
Learning
objectives 
Grade

Resources

draw and produce, using
paper and ICT, pictograms, pie charts for
categorical data, and diagrams for
continuous data, including line graphs for
time series, scatter graphs, frequency
diagrams and stem and leaf diagrams.
interpret a wide range of
graphs and diagrams and draw conclusions
interpret
social statistics including index
numbers, time series and survey data

Construct and interpret a
pictogram 
G 

Construct and interpret a bar
chart 
G 

Construct and interpret a dual
bar chart 
F 

Interpret a pie chart 
F 
W
notes on using pie charts (complete and
stick in books)
W
template with 8 sections
P
blank pie chart templates
P
W
drawing a pie chart from tables
W
drawing pie charts from tables
W
using fractions of the pie chart to
interpret or draw them.
P
W
W
using percentages to interpret or draw
pie charts
W
W
W
W drawing
pie charts from tables and
interpreting pie charts
W
questions on pie charts and bar charts
(X
Answers)

Construct a pie chart 
E 
Interpret a stem and leaf diagram

E 
P
drawing an ordered stem and leaf diagram
worked example
F
Stem and Leaf Dominoes
F
(F)
Various questions (with answers)
F
(F)
Exam style (with answers)
F
Spot the mistake
F
F
(F)
(F)
Whodunnit (with answers)
W W draw
an ordered stem and leaf diagram and
interpret.

Construct a stem and leaf diagram
(ordered) 
D 
Construct a frequency diagram

D 
P
frequency polygon worked example
W
Frequency polygons from bar charts and
tallies

Interpret a time series graph

D


interpret a wide range of graphs
and diagrams and draw conclusions
draw and produce, using
paper and ICT, cumulative frequency
tables and diagrams, and box plots and
histograms for grouped continuous
data.

Construct and interpret a
cumulative frequency diagram 
B 
P
interpreting c.f. diagrams
W
cumulative frequency questions (X
Answers)
W W
draw a c.f. diagram from raw data

Use a cumulative frequency
diagram to estimate the median and
interquartile range 
B 
Construct and interpret a box
plot 
B 
W
draw box plots from c.f. diagrams or
stem and leaf diagrams
P
Box and Whiskers

Compare two sets of data using
box plots 
B 
Construct and interpret a
histogram with unequal class intervals

A 
P
Explanation of histograms

MEASURES OF AVERAGE AND
SPREAD
Specification 
Learning
objectives 
Grade

Resources

calculate mean, range
and median and mode of small data sets
with discrete then continuous data

Find the mode for a set
of numbers 
G 
P
P
explanation of mean, median and mode
using examples
W Example of mean,
median and mode from list of data
W
copy and complete notes on averages and
range
W
questions on mean median and mode
W questions on mean
(includes frequency table)
W questions on median from
list of data
W
3 in a line activity (mean)
W
4 in a line activity (mean)
W W
mean, median and mode 4 in a line
activities

Find the median for an
odd set of numbers 
G 
Find the median for an
even set of numbers 
F 
Work out the range for a
set of numbers 
F 
Calculate the mean for a
set of numbers 
F 
Write down the mode from
a graph 
F 
identify the
modal class for grouped data

Find the modal class for
grouped data 
D


find
the median, quartiles and
interquartile range for large data sets and
calculate the mean for large data sets
with grouped data

Calculate the 'fx'
column for a frequency distribution

E 
P
W W
questions on averages from frequency
tables
W questions on mean
(includes frequency table)
W W
questions on averages from grouped
frequency tables

Calculate the mean for a
frequency distribution 
D 
Find the mean for
grouped data 
C 
Find the median class
for grouped data. 
C 
compare
distributions and make inferences, using
the shapes of distributions and measures
of average, range and spread, including
median and quartiles 
Compare the mean and
range of two distributions 
C

P
two examples of mean and range 
Compare two sets of data
using box plots 
B


identify seasonality and trends
in time series
calculate an appropriate
moving average

construct a time series graph and
plot the moving average 
B 

Use the trend line to
estimate other values 
B 
X
moving averages 
use relevant
statistical functions on a calculator or
spreadsheet.




SCATTER DIAGRAMS AND
CORRELATION
Specification 
Learning
objectives 
Grade

Resources

Draw and produce scatter diagrams

Draw a scatter diagram by
plotting points on a graph 
D

X
blanks scatter diagram for height and
arm length
X
blanks scatter diagram for leg length
and shoe size
W W
drawing scatter graphs from tables and
interpreting (X
Answers)
P
explaining correlation from scatter
diagrams
W W
W
W
W
testing hypotheses using scatter
diagrams
W
identifying and predicting correlation

draw lines of best fit by eye,
understanding what these represent.

Draw a line of best fit on a
scatter diagram 
D 
distinguish between positive,
negative and zero correlation using lines
of best fit 
Interpret the line of best fit

C 
appreciate
that correlation as a measure of the
strength of the association between two
variables 
Identify the type and
strength of correlation 
C

appreciate
that zero correlation does not necessarily
imply ‘no relationship’ but merely ‘no
linear relationship 
PROBABILITY
Specification 
Learning
objectives 
Grade 
Resources

understand
and use the probability scale

understand and use the
probability scale 
F


Express a probability as a
fraction 
F

W simple probability
notes to copy
W questions on
probability

use the vocabulary of
probability to interpret results
involving uncertainty and prediction

Understand and use the vocabulary
of probability 
G


compare
experimental data and theoretical
probabilities
understand that if they repeat
an experiment, they may – and usually
will – get different outcomes, and that
increasing sample size generally leads
to better estimates of probability and
population characteristics/
parameters
understand and use estimates or
measures of probability from theoretical
models (including equally likely
outcomes), or from relative frequency

Understand the difference between
experimental and theoretical probabilities

E 
W
Probability horse race
W
using spinners  theoretical and
experimental results.

Understand and use relative
frequency 
D 
P
relative frequency

Use relative frequency to find
probabilities 
B 
Use probability to estimate
outcomes for a population 
C 

list all outcomes for single
events, and for two successive events,
in a systematic way

Display outcomes systematically

F 
W questions on
possibility space

identify different mutually
exclusive outcomes and know that the sum
of the probabilities of all these
outcomes is 1

Understand mutually exclusive
events

D


Use the fact that the
probabilities of mutually exclusive events
add up to 1 
D


know when to add or multiply
two probabilities: if A and B are
mutually exclusive, then the probability
of A or B occurring is P(A) + P(B),
whereas if A and B are independent
events, the probability of A and B
occurring is P(A) x P(B)

Know when to add or multiply two
probabilities 
B

W questions on and/or
rules
W
and rule

Understand dependent and
independent outcomes 
A 
use tree diagrams to represent
outcomes of compound events, recognising
when events are independent

Complete a tree diagram

B 
W tree diagrams
questions
P
blank tree diagrams for text book
exercise (Rayner)
W tree diagrams
questions

Use tree diagrams to find
probabilities of successive independent
events 
A 
Draw tree diagrams and use them
to find probabilities of successive
dependent events 
A* 
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