Class

Week

Time: 2hrs Total of 4hrs

(Part 1 of 2):

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

1 hr
OHS HD3a/1: Raw Data

Use to pose as many quick-fire questions about the raw data as possible in 3 minutes, eg:
How many numbers between 1 and 7?
How many numbers bigger than 6 …

Repeat after placing list in order (Column 2).

(Q: Which is easier / faster / more accurate?)
- To be able to decide which data is suited to an enquiry.

- To be able to design collection sheet or questionnaire and frequency tables (including grouped data).
data
primary data
secondary data
grouped data
discrete data
frequency
diagram
Introduce a statistical problem.
Eg1: 'Boys' & Girls' TV Habits: is there a Difference?

'Eg 2: West Midland Road Accident Data
Cross-curricular with Citizenship and PSHE. (Access/Excel).

a) Brainstorm with pupils what data they wish to collect; decide which suggestions best address the original question.

b) Brainstorm possible data sources (TV companies, teen magazines, newspapers, internet, survey …). Primary v secondary sources.

c) Discuss and decide on data collection sheet; grouped or not.
Deciding, Planning & Collecting
Eg: 'Boys' & Girls' TV Habits: is there a Difference?'
OR
West Midland Road Accident Data

a) Briefly record decisions made about type of data and method of collection.
Eg: Which of these types of programmes do you watch: …? How many hours TV per night?

b) Collect data using data collection sheet, grouping data if appropriate.

OR International Survey
- take part in for enrichment.

OR Class Breakfast Habits
- for surveys & questionnaires.
Review steps in the planning stage:
1) Decide on relevant data;
2) Research possible data sources;
3) Plan data collection sheet;
4) Design data collection sheet.

Discuss possible biases of the sources suggested.
OHS HD3a/1: Raw Data
L2

1 hr
OHS HD3a/1: Raw Data

Ask pupils to round each measurement to:- nearest whole number
- 1 d.p.
- 2 d.p.
- To be able to draw bar charts (grouped discrete data).

- and pie charts using ICT.

- and compound bar charts for categorical data.

- and bar-line graphs for discrete data.
bar chart
bar-line graph
pie chart
group
distribution
1. Discuss next stage:
a) the nature of the collected data – numerical, categorical, grouped..;

b) how to use it to answer Q?

c) most efficient way? (cf: Starter).

d) Highlight different display uses - - pie charts compare 'part' with 'whole'; - bar charts compare 'part' with part'.

2. Demonstrate how to draw each chart.
Constructing Statistical Diagrams
Eg: Bar charts for TV Viewing Times (1-3, 4-6 ... daily viewing). Input on choice of chart scales.

Eg: Pie charts for TV Preferences (Soaps, Films, News, Cartoon …) Highlight that best use is with small number of categories.
Review decisions on
- choice of displays;
- choice of scales;
- choice of groupings.
OHS HD3a/1: Raw Data