Class

Week

Time: 3 hrs Total of 5 hrs

(Part 1 of 2): Data collection, Display & Interpretation

Lesson No.
Mental Starters
Learning Outcomes
Key Vocabulary
Introductory Ideas
Main Activity
Plenary
Resources
L1

1 hr
OHS HD2/1: Shady Statistics: for statement that 'Men run faster than women'. Find reasons why Leanne or Tariq may be right
- given a problem that can be addressed by statistical methods, suggest possible answers
survey
questionnaire
experiment
data
grouped data
statistics
class interval
tally
table
frequency
data collection sheet
database

Ma 1 words: any of -

answer
evidence
explain
explore
investigate
method
problem
reason
results
solution, solve
true, false
Pupils to suggest possible answers to 3 - 5 everyday problems. Eg: 'Best way to travel to school? (see p248). Conduct straw poll.

OHS HD2/2: Data Display- Methods of Transport

- how these were obtained ?

- how or when might both be accurate?
1. Discussion and interpretation in groups of range of data displays. Record interpretations.

2. Share and compare results Discuss difference between groups. Highlight ease of misinterpretation.
OHS HD2/3: Misleading Charts
Highlight how data displays can be misleading.
Qs: When is this sometimes done on purpose?
How could a soap powder co. use this to advantage?
pp 250 - 5 pp 262 - 273
OHS HD2/1: Shady Statistics

OHS HD2/2: Data Display- Methods of Transport

OHS HD2/3: Misleading Charts
L2

1 hr
Interpret graph shapes, eg:

OHS HD2/2: Data Display- Methods of Transport
- decide which data is relevant to an enquiry

- decide on data sources

- plan how to collect & organise small sets of data

- design data collection sheet / questionnaire

- construct bar-line graphs & grouped frequency diagrams, using paper & ICT

- construct pie-charts using ICT (y8: on paper)

- interpret diagrams & graphs (including pie charts);draw simple conclusions from graphs shapes
Are boxes of Smarties all the same?

Hand out 1 box per pupil (or pair). Most popular colour? (mode).
Predict results, count & compare results.

What other Qs could we ask? Eg:

How many colours? How many sweets? All same frequency?

Order of frequency?...

How would we collect the data?


Record decisions on which questions and which data collection method.
1 Individually / Pairs: Ask pupils to record in their own way the colour frequencies for their box. (Suggest pupils count 30 sweets and discard excess!) Discuss data collection methods. Agree ground rules on frequency diagrams (tallies ...)

2 Pupils to: draw diagram / chart / graph of results; present data display & justify choice; Agree ground rules displays (labels,start at 0 ..)

3 Pool class results in frequency table & graph (board / OHP). Use to consolidate ground rules. Interpret results; answer original Qs.

4 Extension: Link with HD1 work on mode, median, mean, range. (But note: Emphasis is on interpretation from graph shape in HD2. For Interpretation from 3 averages & range see HD3,)

For extensive weather data bank & educational activities, go to the
Birmingham Weather Station
Ask for 1 statement or observation from each pupil about whole class resultsfrom table?
from display?
Which is faster?
Are whole class results more or less accurate than individual results?
Why?

(Highlight importance of sample size).

Discuss pupils' answers to Smarties. Conclusion.
L3

1 hr
Informal survey for Profile of a Typical Y7 Pupil
Record on OHS.
- solve word problems; investigate in a range of HD contexts
Introduce investigation Profile of a Typical Y7 Pupil. Discuss main steps and agree a plan.
See OHS HD2/4: Steps in Handling Data
Extend to enquiries into other everyday contexts involving discrete data, including grouped data.

(Eg: Profile of a Typical Y7 Pupil ', using results of Starter survey. Outcome will be statement such as He / she is a brown haired, 150 cm tall, pizza-loving, Eastenders fan with a taste for hip hop music & environment, plus back-up evidence in form of tables, diagrams & charts).
OR
Conduct a Newspaper New Feature Survey
Recap key steps in a DH enquiry: OHS HD2/4: Steps in Handling Data
pp 24 - 25