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Introduction to data analysis: Case studies with iSIKHNAS data Day 3. Beef self-sufficiency. 1/ 69. 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).
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Introduction to data analysis: Case studies with iSIKHNAS dataDay 3 Beef self-sufficiency 1/ 69
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
Key concepts for hypothesis testing (2) Null and alternate hypotheses
Key concepts for hypothesis testing (3) Determine an appropriate statistical test Watch additional PowerPoint on which test to use.
Key concepts for hypothesis testing (4) Calculate a test statistic value
Key concepts for hypothesis testing (5) • Determine the region of test statistic values where you will reject or retain the null hypothesis
Key concepts for hypothesis testing (6) Determine a probability of observing the test statistic if the null hypothesis is true
Key concepts for hypothesis testing (7) • Reject or retain the null hypothesis
Key concepts for hypothesis testing (8) • 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
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