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AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to data analysis: Case studies with iSIKHNAS data Day 3 Beef self-sufficiency.

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Presentation on theme: "AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to data analysis: Case studies with iSIKHNAS data Day 3 Beef self-sufficiency."— Presentation transcript:

1 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to data analysis: Case studies with iSIKHNAS data Day 3 Beef self-sufficiency

2 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to case study 3: Beef self-sufficiency Scenario Question of interest Limitations to conclusions (deficient data- time frame short)

3 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for hypothesis testing (1) Objective and question of interest

4 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for hypothesis testing (2) Null and alternate hypotheses

5 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for hypothesis testing (3) Determine an appropriate statistical test Watch additional PowerPoint on which test to use.

6 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for hypothesis testing (4) Calculate a test statistic value

7 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for hypothesis testing (5) Determine the region of test statistic values where you will reject or retain the null hypothesis

8 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for hypothesis testing (6) Determine a probability of observing the test statistic if the null hypothesis is true

9 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for hypothesis testing (7) Reject or retain the null hypothesis

10 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for hypothesis testing (8) Make inferences about the population of interest i.e. answer your question of interest.

11 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 3: Objective Exercise 15

12 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 3: Data management Exercise 16

13 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 3: Description of data Exercise 17

14 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 3: Hypothesis testing Exercise 18 Exercise 19

15 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Summary of case study 3

16 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES 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 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES The end of day 3

18 AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES

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