Google Links

Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

1. Interpret a graph or table
   • Write reports based on data that identify relevant relationships within data.
   • Calculate row and column percentages from a table.
   • Interpret data represented in a table or graph.
2. Interpret data and its summarised highlights
   • Define and explain data summaries and trends in a manner suited to the audience.
   • Interpret survey data according to accepted standards.
   • Interpret data and summarise its highlights.
   • Verify interpretation with a suitably qualified person.
3. Interpret a range of official statistics in a policy environment
   • Identify and explain data summaries and trends.
   • Interpret statistical tests and explain this interpretation.
   • Critique the sampling method or survey design.
   • Interpret the data in such a way as to inform decision making.
   • Verify interpretation with a suitably qualified person.
   • Identify the shortcomings of statistical applications in the policy environment.
4. Present statistical results
   • Present data in tables, charts and maps so that the reader does not misconstrue it.
   • Include glossaries, technical notes and referencing where required.
   • Prepare and present reports that include statistical concepts, tables, charts and maps.
   • Present findings in a way that is most appropriate for the audience.
   • Use charts in presentations that are appropriate to the variables and adhere to accepted standards.
5. Guide others in the interpretation of data
   • Define data summaries and trends clearly and communicate to staff involved in the project.
   • Communicate the assumptions upon which the interpretation is based, in accordance with audience needs.
6. Interpret a graph or table
   • Write reports based on data that identify relevant relationships within data.
   • Calculate row and column percentages from a table.
   • Interpret data represented in a table or graph.
7. Interpret data and its summarised highlights
   • Define and explain data summaries and trends in a manner suited to the audience.
   • Interpret survey data according to accepted standards.
   • Interpret data and summarise its highlights.
   • Verify interpretation with a suitably qualified person.
8. Interpret a range of official statistics in a policy environment
   • Identify and explain data summaries and trends.
   • Interpret statistical tests and explain this interpretation.
   • Critique the sampling method or survey design.
   • Interpret the data in such a way as to inform decision making.
   • Verify interpretation with a suitably qualified person.
   • Identify the shortcomings of statistical applications in the policy environment.
9. Present statistical results
   • Present data in tables, charts and maps so that the reader does not misconstrue it.
   • Include glossaries, technical notes and referencing where required.
   • Prepare and present reports that include statistical concepts, tables, charts and maps.
   • Present findings in a way that is most appropriate for the audience.
   • Use charts in presentations that are appropriate to the variables and adhere to accepted standards.
10. Guide others in the interpretation of data
    • Define data summaries and trends clearly and communicate to staff involved in the project.
    • Communicate the assumptions upon which the interpretation is based, in accordance with audience needs.

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.

applying legislation, regulations and policies relating to statistical work

explaining the results of an analysis in writing

constructing graphs, tables and maps using software

using presentation software

communicating with diverse audiences including explaining, interpreting, presenting results

---

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.

public sector legislation including WHS and environment, regulations, policies, procedures and guidelines relating to statistical work

summary statistics

statistical tests and related assumptions

different methodologies and related assumptions

the quality of a statistic

sources of error including standard error

data collection methodologies

sources of expertise within the organisation

‘how numbers relate’ or the associations between statistics

the ethical issues associated with presenting statistical results

intellectual property issues and how they might relate to the data

confidentiality issues relating to the data

relevant style manuals

---