Exploring Life in Ethiopia Through Statistical Approaches and Images

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Discover the diverse experiences in Ethiopia through a collection of images capturing aspects of daily life, from collecting data to women beekeepers at work. Explore the setting, living conditions, and roles of women in Ethiopia, shedding light on the statistical approaches to global issues affecting the region.


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

  2. COLLECTING DATA IN ETHIOPIA

  3. Come up with four questions about these photos. Photo credits: Oxfam

  4. Come up with four questions about these photos. Photo credit: Oxfam

  5. Come up with four questions about these photos. Photo credit: Oxfam

  6. What is Ethiopia like? Setting the scene

  7. Living in Ethiopia

  8. Living in Ethiopia

  9. Living in Ethiopia

  10. Living in Ethiopia

  11. Women in Ethiopia

  12. What is life like for the women honey producers? Setting the scene

  13. Photo credit: Oxfam Women honey producers

  14. Photo credit: Oxfam Modern bee hives

  15. Photo credit: Oxfam Ethiopian woman with her bee hives

  16. Photo credit: Oxfam Women bee keepers working together

  17. Photo credit: Oxfam A women s bee-keeping group meeting

  18. Photo credit: Oxfam Ethiopian women at a market

  19. Photo credit: Oxfam Ethiopian women at a market

  20. Ethiopia 1. What can you tell about honey production and Ethiopia from the photos you have seen? 2. Where in the world is Ethiopia? Use continent names and compass directions in your answer. 3. Why is honey production important to Ethiopia? Use some figures in your answer. 4. How has the honey sector changed over recent years? 5. What role do women have in honey production? 6. What is the climate of Ethiopia like? 7. How wealthy (GDP) is Ethiopia compared to other countries?

  21. Case studies After reading the case study, add two more pieces of information to your description about the role of women in Ethiopia and two more pieces of information about honey production.

  22. Data collection challenges How much data should be collected? When should it be collected? Who should collect it? Do people always give honest answers? Why might they not give an honest or full answer? How do you compare the women you are collecting data on to the rest of the population?

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