1. Bringing data to life -statistical approaches to global issues 11-14 years: Session 4

2. The education and wealth of women in Collective Action groups
Add notes about what the lesson is about or background info about any photos (optional).

3. True or false? Ethiopia is in east Africa Honey is produced by bees
All farmers in Ethiopia are women
All women farmers in Ethiopia belong to a collective action group
You must be well educated to be a farmer in Ethiopia
Some farmers in Ethiopia earn more than others
Wealthy women farmers in Ethiopia earn more than many people in the UK
Wealth is calculated using data on a household's possessions, animals and what their house is like.

4. True or false? - Answers Ethiopia is in east Africa
Honey is produced by bees
All farmers in Ethiopia are women
False, they can be either men or women
All women farmers in Ethiopia belong to a collective action group
False, some do but many do not
You must be well educated to be a farmer in Ethiopia
False, some are but some have almost no education at all

5. True or false? - Answers
Some farmers in Ethiopia earn more than others
True , some farmers will earn barely enough to survive whereas others can earn a very good living by Ethiopian standards
Wealthy women farmers in Ethiopia earn more than many people in the UK
False, the wealthier farmers in this study would still earn significantly less than the vast majority of people in the UK
Wealth is calculated using data on a household's possessions, animals and what their house is like.
True, housing characteristics include whether they have a roof made of grass or tin.

6. Women from a rural village, dressed in protective clothing, during a workshop at a beekeeping demonstration and training centre. This training is provided by the company which purchases their honey.
This photo will help bring to life that this was a real project working with real women in Ethiopia.
Photo credit: Tom Pietrasik/Oxfam

7. Women dressed in protective clothing learn about keeping modern hives clean at a beekeeping demonstration and training centre. This training is provided by the company which purchases their honey.
This photo will help bring to life that this was a real project working with real women in Ethiopia.
Photo credit: Tom Pietrasik/Oxfam

8. Who do you agree with? How can you find out who is correct?
Researcher Ras thinks that women farmers who belong to a group earn less money.
Researcher Adina disagrees, she thinks they will be wealthier.
Please note, these are fictional researchers – not people who actually collected data for the Oxfam research study.
How can you find out who is correct?

9. Constructing a pie chart
To draw a pie chart, each part of the data is represented as a proportion of 360, because there are 360 degrees in a circle.
You need to know the total amount of data collected – in this case 20 women were surveyed on how many years education they had.
You then need to know how many are represented in each part of the data – for example, three women might have one year of education.
Divide the part of the data by the total amount – in this example, 3/20.
You then multiply this answer by 360 – so here (3/20) x 360. This answer tells you how many degrees your segment of pie chart needs to be.
Before you draw the pie chart, remember to check that the angles which you have calculated add up to 360 degrees.

10. Women’s wealth – a larger sample size
How does this pie chart, using a larger sample size of 100 women, compare with those produced by learners?

11. Understanding a pie chart
Which is the most common wealth index?
Which is the least common wealth index?
Why are some of the indices not represented on the pie-chart?
Is there anything surprising about the pie-chart?
Use these questions to check understanding of the pie-chart. Add any additional questions to further check understanding.

12. Women’s wealth – a larger sample size
How does this pie chart, using a larger sample size of 100 women, compare with those produced by learners?

13. Comparing the wealth of women in collective action groups with those not in groups
Frequency
Wealth index
Wealth index