Skip to main content

The Open University
Accessibility hub
Guest user / Sign out
Study with The Open University
Accessibility hub

Close

OpenLearn will be unavailable from 8am to 11am on Tuesday 25 August due to scheduled maintenance.

Skip to content

The Open University
Accessibility hub
Guest user / Sign out
Study with The Open University
Accessibility hub

Close

OpenLearn will be unavailable from 8am to 11am on Tuesday 25 August due to scheduled maintenance.

header search Search for

Home
Free courses
Subjects
Study skills
Work skills
Help
Accessibility hub
Sign in

Create account / Sign in

The Open University
Accessibility hub
Guest user / Sign out
Study with The Open University
Accessibility hub

Close

OpenLearn will be unavailable from 8am to 11am on Tuesday 25 August due to scheduled maintenance.

Home
Free courses
Subjects
Study skills
Work skills
Help
Accessibility hub
Sign in

sticky search Search for

My OpenLearn Profile

Personalise your OpenLearn profile, save your favourite content and get recognition for your learning

Create account / Sign in

Subjects
Science, Maths & Technology
Free courses
Teaching and learning statistics
Week 2 Collecting and organising data

Course content

3 pages contain editor comments.

Week 2 Collecting and organising data
Introduction and guidance
(1)
What is a badged course?
(1)
How to get a badge
Acknowledgements
(1)

3 pages contain author comments.

11 pages contain editor comments.

Week 1
Introduction
(1)
Learning outcomes
1 Statistics
(1)
2 The data handling cycle
(1)
- 2.1 The statistical process
  (4) (1)
- 2.2 The cycle
3 Planning
(1)
- 3.1 Pose the question
  (2)
- 3.2 Personal data
  (1)
- 3.3 Appropriate questions
  (1) (2)
- 3.4 Projects for the classroom
- 3.5 Data sources
4 This week’s quiz
(1)
5 Summary of Week 1
References
Acknowledgements
(1)

5 pages contain editor comments.

Week 2
Current section:
Introduction
Learning outcomes
1 Sampling
2 Types of data
- 2.1 An important note about bar charts
3 Organising data
4 This week’s quiz
5 Summary of Week 2
6 Further reading/listening/watching
References
Acknowledgements
(1)

1 page contains author comments.

6 pages contain editor comments.

Week 3
Introduction
Learning outcomes
1 Averages
(2)
2 Dispersion - why measure spread?
3 Doing and undoing
(1)
4 This week’s quiz
5 Summary of Week 3
(1)
References
Acknowledgements

11 pages contain editor comments.

Week 4
Introduction
Learning outcomes
1. Pictograms
(6)
1.1 Appropriate symbols
(3)
2. Bar charts
(1)
2.1 Block diagrams
(4)
2.2 Dot plots
(1)
2.3 Vertical line charts
(1)
2.4 Formatting bar charts
(7)
2.5 Vertical or horizontal bar charts?
(4)
3. Stem-and-leaf diagrams or stemplots
(5)
4. Pie charts
(7)
4.1 Connecting bar charts and pie charts
(6)
5. Context of the data
Further reading/listening/playing!
Acknowledgements

10 pages contain editor comments.

Week 5
Introduction
Learning outcomes
1. Time series and line graphs
1.1 Time series
1.2 Plotting and reading line graphs
(2)
2.1 Drawing box plots
(13)
2.2 Interpreting box plots
(4)
2.3 Dispersion on box plots
(1)
2.4 Very extreme data values
(1)
3. Histograms
(3)
3.1 Histograms with equal width bars
(2)
3.2 Frequency polygons
(2)
3.3 Histograms with unequal width bars
(13)
5. The week's quiz
(1)
6. Summary of week 5
7. Further reading
Acknowledgements

11 pages contain editor comments.

Week 6
Introduction
(1)
Learning outcomes
1.Composite bar charts
(7)
- 1.1 Dual bar charts
  (2)
- 1.2 Back-to-back bar charts
  (4)
- 1.3 Population pyramids
  (9)
2. Comparative box plots
(1)
3. Bivariate data
(2)
- 3.1 Scatter graphs
  (7)
- 3.2 Correlation
  (12)
- 3.3 Prediction
  (4)
- 3.4 Correlation and causation
  (7)
4. This week’s quiz
5. Summary of Week 6
6. Further reading
7. Acknowledgements
References
Acknowledgements

About this free course

About this free course

24 hours study

Level 1: Introductory

Full course description

Become an OU student

Become an OU student

BA/BSc (Honours) Open degree
Concepts in chemistry

Share this free course

Share this free course

Share on Facebook Share on Twitter Share on LinkedIn Share via Email

Create your free OpenLearn profile

Anyone can learn for free on OpenLearn, but signing-up will give you access to your personal learning profile and record of achievements that you earn while you study.

Sign up now for free Sign up now for free

Newsletter

Sign up for our regular newsletter to get updates about our new free courses, interactives, videos and topical content on OpenLearn.

Newsletter sign-up

Course content Course content

Teaching and learning statistics

Teaching and learning statistics

Start this free course now. Just create an account and sign in. Enrol on the course to track your learning.

Create account / Sign in More free courses

Week1
Week2
Week3
Week4
Week5
Week6

Week 2 Collecting and organising data

There is no activity with the title Session 4 practice quiz on website STATS_1

Week 2 Collecting and organising data

Take your learning further

Take the next step in your learning journey

With over 50 years of experience in distance learning, The Open University brings flexible, trusted education to you, wherever you are. If you’re new to university-level study, read our guide on Where to take your learning next.

Browse all Open University courses and start your journey today.

footer Menu

Get started
Explore subjects
About OpenLearn

Our partners

OpenLearn works with other organisations by providing free courses and resources that support our mission of opening up educational opportunities to more people in more places.

Policy

Twitter
Facebook
YouTube
Instagram

©1999-2026. All rights reserved. The Open University is incorporated by Royal Charter (RC 000391), an exempt charity in England & Wales and a charity registered in Scotland (SC 038302). The Open University is authorised and regulated by the Financial Conduct Authority in relation to its secondary activity of credit broking.

Accessibility statement
Conditions of use
Privacy and cookies
Modern Slavery Act
Copyright
Manage cookie preferences