1. Introduction to data analysis: Case studies with iSIKHNAS data Day 3 Beef self-sufficiency 1/ 69

2. Introduction to case study 3: Beef self-sufficiency Scenario Question of interest Limitations to conclusions (deficient data- time frame short)

3. Key concepts for hypothesis testing (1) Objective and question of interest

4. Key concepts for hypothesis testing (2) Null and alternate hypotheses

5. Key concepts for hypothesis testing (3) Determine an appropriate statistical test Watch additional PowerPoint on which test to use.

6. Key concepts for hypothesis testing (4) Calculate a test statistic value

7. Key concepts for hypothesis testing (5) Determine the region of test statistic values where you will reject or retain the null hypothesis

8. Key concepts for hypothesis testing (6) Determine a probability of observing the test statistic if the null hypothesis is true

9. Key concepts for hypothesis testing (7) Reject or retain the null hypothesis

10. Key concepts for hypothesis testing (8) Make inferences about the population of interest i.e. answer your question of interest.

11. Case study 3: Objective Exercise 15

12. Case study 3: Data management Exercise 16

13. Case study 3: Description of data Exercise 17

14. Case study 3: Hypothesis testing Exercise 18 Exercise 19

15. Summary of case study 3

16. Conclusions from course Importance of data analysis iSIKHNAS data now available Steps in data analysis Consolidate your skills Advance your skills – Software (e.g. R) – Text books (e.g. R and statistics) Extension work with R in Appendix 1

17. The end of day 3