AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to data analysis: Case...

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES

Introduction to data analysis: Case studies with iSIKHNAS data

Day 3Beef self-sufficiency


Introduction to case study 3:Beef self-sufficiency

• Scenario• Question of interest• Limitations to conclusions (deficient data-

time frame short)


Key concepts for hypothesis testing (1)

• Objective and question of interest



• Null and alternate hypotheses



• Determine an appropriate statistical test• Watch additional PowerPoint on which test to

use.



• Calculate a test statistic value



• Determine the region of test statistic values where you will reject or retain the null hypothesis



• Determine a probability of observing the test statistic if the null hypothesis is true



• Reject or retain the null hypothesis



• Make inferences about the population of interest i.e. answer your question of interest.


Case study 3: Objective

• Exercise 15


Case study 3: Data management

• Exercise 16


Case study 3: Description of data

• Exercise 17


Case study 3: Hypothesis testing

• Exercise 18• Exercise 19


Summary of case study 3


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


The end of day 3

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to data analysis: Case...

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