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Subjects
Science, Maths & Technology
Free courses
Teaching and learning statistics
Week 1 The data handling cycle
2 The data handling cycle

Course content

3 pages contain editor comments.

Week 1 The data handling cycle
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)
Current section:
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
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

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24 hours study

Level 1: Introductory

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BA/BSc (Honours) Open degree
Concepts in chemistry

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Teaching and learning statistics

Teaching and learning statistics

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Week1
Week2
Week3
Week4
Week5
Week6

2 The data handling cycle

In this short section you will learn the stages that are in the data handling cycle.

Author: Same as section 1, will need some expanded text about what this section will look at.

Previous

Previous 1.5 Is statistics mathematics?

Next 2.1 The statistical process

Next

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