|
| 1. PROCESS DATA: |
Statistical calculations for discrete data: mode and
modal class
(- grouped data), median, range; & mean from list
or frequency table. |
HD3 |
| 2. INTERPRET DATA: |
From diagrams & graphs (inc. pie charts) & draw
conclusions from Both graph shapes & simple statistics
(single distribution) |
HD2, HD3 |
| 3. PROBABILITY: |
Vocabulary, ideas, everyday experiences |
|
| 4. PROBABILITY: |
0-1 Probability scale |
HD3 |
| 5. PROBABILITY: |
Find / justify probabilities based on equally likely
outcomes |
HD3 |
| 6. PROBABILITY: |
Identify all possible mutually exclusive outcomes of
a single event. |
HD3 |
| 7. DATA / PROBABILITY: |
Collect experimental data, record (frequency table)
& use to estimate probabilities |
HD3 |
|
|
|
| |
| 1. DATA: |
Suggest possible answers to problem open to statistical
methods |
|
| 2. DATA COLLECTION: |
Decide on relevant data & possible sources for an
enquiry |
HD3 |
| 3. DATA COLLECTION: |
Plan collection & organisation of small sets of
data; design data collection sheet /questionnaire / frequency
tables (discrete data); grouped F tables (equal class
intervals) |
HD3 |
| 4. DATA COLLECTION: |
Collect small sets of data - simple survey or experiment |
HD3 |
| 5. DATA DISPLAY: |
- diagrams & graphs for collected data - (bar-line
graphs and frequency diagrams for grouped discrete data
- paper & ICT; pie charts - ICT only) |
|
| 6. INTERPRET DATA: |
From diagrams, graphs (inc. pie charts); draw conclusions
from graph shapes only |
HD1, HD3 |
| 7. SOLVING PROBLEMS: |
Solve problems & investigate in a range of contexts:
Handling Data |
|
|
|
|
| |
| 1. DATA COLLECTION: |
Decide on relevant data & possible sources for an
enquiry |
HD2 |
| 2. DATA COLLECTION: |
Plan collection & organisation of small sets of
data; design data collection sheet /
questionnaire / F tables (discrete data); grouped F tables
(equal class intervals) |
HD2 |
| 3. PROCESS DATA: |
Calculate for discrete data: mode and modal class (grouped
data), median, range; & mean from list or frequency
table. |
HD1 |
| 4. DATA DISPLAY: |
- diagrams & graphs for collected data - (bar-line
graphs and F diagrams for grouped discrete data - paper
& ICT; pie charts - ICT only) |
HD2 |
| 5. INTERPRET DATA: |
From diagrams & graphs (inc. pie charts) & draw
conclusions from graph shapes & simple statistics
(single distribution) |
HD1, HD2 |
| 6. INTERPRET DATA: |
Compare simple distributions using range & one average |
|
| 7. REPORT ON DATA: |
Short report of a statistical enquiry, with appropriate
diagrams / charts / graphs,
using ICT as appropriate; justify choice of presentation. |
|
| 8. PROBABILITY: |
0-1 Probability scale |
HD1 |
| 9. PROBABILITY: |
Find / justify Probabilities based on equally likely
outcomes - simple contexts |
HD1 |
| 10. PROBABILITY: |
Identify all possible mutually exclusive outcomes of
a single event. |
HD1 |
| 11. DATA / PROBABILITY: |
Collect experimental data, record (frequency table)
& use to estimate probabilities. |
HD1 |
| 12. DATA / PROBABILITY: |
Compare experimental & theoretical probabilities
in simple contexts |
|
|
|
|
| |
INTRODUCTION:
There is only one strand for data handling and the time
allocation (19 hours) is also significantly less than
Number (30h inc. 3h Measures in N&M3), Algebra (29h)
and SSM (24h, + 3h Measures in N&M3). Within the strand,
however, data handling and probability L.O.s are presented
almost separately in HD1 and HD2. The overall aim of the
Summer Term unit, HD3, - and of the entire strand - is
to bring pupils to a point where they are able to integrate
their learning of data handling and of probability in
order to solve problems requiring both.
- The basic pattern for each unit is as follows:
|
| |
HD1
6h Autumn Term Key L.O's: 1. Probability Scale 2. Probabilities
of equally likely outcomes
N2 (FDPRP) is a pre-requisite to HD1 in order to provide
fractional (or decimal or %) notation for probability
values. Both Key L.O.s relate to P and this is a new
topic for Y7 pupils. An informal experience-based introduction
to everyday probability is linked to the precise and
quantitative fractional approach, via the P number line.
Because the first Key L.O. relates to linguistic communication
skills ('fair', 'likely')& the second to mathematical
communication skills ('P = 3/4'), there are likely to
be two main teaching challenges in this unit. The first
is the facilitation of pupils' 'connection' between
the two (eg; using probability line and everyday examples).
The second challenge may be the confident use of fraction
notation by pupils.
One main data handling L.O .involves the 3 averages
(mean, mode, median) & range, although a more sensitive
insight into their most appropriate use is now postponed
until Y8. The second main L.O. requires data interpretation
from graphs shapes in addition to average / range calculations.
Because graphical interpretation was a key Y5/6 L.O.,
the emphasis here is probably expected to be consolidation
and extension to pie charts & the new link to average
& range calculations. Pupils need to feel relatively
confident about these in preparation for HD2. |
| |
HD2 5h Spring
Term Key L.O's: 1. Word problems / investigations -
handling data
The problem-solving Key L.O. is in line with the previous
statement re confident interpretative data handling
skills. The L.O.s in HD2 provide pupils with a clear
pathway through an enquiry, from choosing data sources,
to planning collection & recording methods, displaying,
interpreting & drawing conclusions. Interpretation
is from graph shapes rather than from statistical calculations.
This further supports pupils' spatial & intuitive
insight, and opposes too early an emphasis on numerical,
quantitative methods (postponed until HD3). This philosophy
is also visible in the SSM strands (see SSM notes).
Therefore, HD2 is the 'Big Picture' unit for Data Handling.
There are no probability L.O.s in HD2. |
| |
HD3
8h Summer Term Key L.O's: 1. Compare 2 simple distributions
using range & one average
2. Probability Scale 3. Probabilities of equally likely
outcomes As noted above, the overall aim of
the Summer Term unit, HD3, - and of the entire strand
- is to bring pupils to a point where they are able
to integrate their learning of data and of probability.
The 2 related contexts are: those requiring an estimation
of Probability values from experiments, and those requiring
a comparison between experimental & theoretical
probabilities. There is a considerable overlap with
the L.O.s from HD1, therefore allowing consolidation
and development of the probability objectives.
There is also a significant overlap with the long list
of HD2 enquiry-based L.O.s, although it may be less
obvious because HD3 refers more succinctly to the production
of an enquiry report and to the comparison of 2 distributions.
Therefore, the enquiry pattern laid out for pupils in
HD2, neatly encapsulated within these 2 L.Os., is accessed
again in HD3.
Experimental probabilities are used in this unit to
estimate theoretical probabilities and the 2 are compared
in simple contexts. However, this is developed further
in Y8 where the aims are to understand experimental
probability (eg: different outcomes occur in repeated
experiments; the more the repeats, the better the estimate).
|
|
|
|
|