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

• 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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