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Elements and Performance Criteria

1. Perform scientific calculations
   • Ensure consistency of raw data with expectations and reasonable ranges.
   • Calculate scientific quantities.
   • Determine calculated quantities and estimations.
   • Present results using the appropriate units, uncertainties and number of significant figures.
2. Analyse trends and relationships in data
   • Determine relationships between sets of data.
   • Prepare and analyse data to determine if a process is in control.
   • Identify possible causes for out of control condition.
3. Determine variation and/or uncertainty in data distributions
   • Organise raw data into appropriate frequency distributions.
   • Calculate statistical properties for ungrouped and grouped data.
   • Interpret statistical properties to determine characteristics of sample or population.
   • Calculate standard deviations and confidence limits for means and replicates.
   • Determine uncertainty in measurements using statistical analysis.
   • Determine data acceptability using statistical tests and organisational procedures.
4. Check for aberrant results
   • Identify results that cannot be reconciled with documentation, testing procedures and/or expected outcomes.
   • Determine appropriate actions in consultation with supervisor as required.
5. Maintain results
   • Store, retrieve and manipulate data following document traceability procedures.
   • Present results in an appropriate format.
   • Verify entry of data and results.
   • Maintain security and confidentiality of data.
   • Prepare reports in a format and style consistent with their intended use and organisational guidelines.
6. Maintain results
   • Store, retrieve and manipulate data following document traceability procedures.
   • Present results in an appropriate format.
   • Verify entry of data and results.
   • Maintain security and confidentiality of data.
   • Prepare reports in a format and style consistent with their intended use and organisational guidelines.
7. Perform scientific calculations
   • Ensure consistency of raw data with expectations and reasonable ranges
8. Calculate scientific quantities
9. Determine calculated quantities and estimations
10. Present results using the appropriate units, uncertainties and number of significant figures
11. Analyse trends and relationships in data
    • Determine relationships between sets of data
12. Prepare and analyse data to determine if a process is in control
13. Identify possible causes for out of control condition
14. Determine variation and/or uncertainty in data distributions
    • Organise raw data into appropriate frequency distributions
15. Calculate statistical properties for ungrouped and grouped data
16. Interpret statistical properties to determine characteristics of sample or population
17. Calculate standard deviations and confidence limits for means and replicates
18. Determine uncertainty in measurements using statistical analysis
19. Determine data acceptability using statistical tests and organisational procedures
20. Check for aberrant results
    • Identify results that cannot be reconciled with documentation, testing procedures and/or expected outcomes
21. Determine appropriate actions in consultation with relevant personnel, as required
    • Store, retrieve and manipulate data following document traceability procedures
22. Present results in an appropriate format
23. Verify entry of data and results
24. Maintain security and confidentiality of data in accordance with organisational policies and procedures
25. Prepare reports in a format and style consistent with their intended use and organisational guidelines

Performance Evidence

Evidence required to demonstrate competence must satisfy all of the requirements of the elements and performance criteria. If not otherwise specified the candidate must demonstrate evidence of performance of the following on at least one occasion.

completing mathematical calculations involving fractions, decimals, ratios, proportions and percent

evaluating mathematical formulae

interpreting scientific properties

preparing and interpreting graphs and data

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Knowledge Evidence

Evidence required to demonstrate competence must satisfy all of the requirements of the elements and performance criteria. If not otherwise specified the depth of knowledge demonstrated must be appropriate to the job context of the candidate.

characteristics of a valid measurement

procedures for data traceability

procedures for maintaining and filing records, security of data

procedures for verifying data and rectifying mistakes

relevant scientific terminology

sources of uncertainty in measurements

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