Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners

PSPGEN065 Mapping and Delivery Guide
Interpret data and related statistics

Version 1.0
Issue Date: April 2024


Qualification -
Unit of Competency PSPGEN065 - Interpret data and related statistics
Description
Employability Skills
Learning Outcomes and Application This unit describes the skills required to interpret data and related statistics. It includes interpreting graphs or tables, interpreting data and its summarised highlights, interpreting a range of official statistics in a policy environment, presenting statistical results and guiding others in the interpretation of data.This unit applies to those working in generalist and specialist roles within the public sector.The skills and knowledge described in this unit must be applied within the legislative, regulatory and policy environment in which they are carried out. Organisational policies and procedures must be consulted and adhered to.Those undertaking this unit would work independently seeking advice as required, performing complex tasks in a range of familiar contexts.No licensing, legislative or certification requirements apply to unit at the time of publication.
Duration and Setting X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting.

This unit contains no specific industry-mandated assessment conditions. Guidance on suggested and recommended conditions and methods can be found in the Implementation Guide.

Assessors must satisfy the NVR/AQTF mandatory competency requirements for assessors
Prerequisites/co-requisites
Competency Field General
Development and validation strategy and guide for assessors and learners Student Learning Resources Handouts
Activities 		Slides
PPT 		Assessment 1 Assessment 2 Assessment 3 Assessment 4
Elements of Competency Performance Criteria              
Element: 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.
       
Element: 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.
       
Element: 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.
       
Element: 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.
       
Element: 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.
       
Element: 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.
       
Element: 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.
       
Element: 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.
       
Element: 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.
       
Element: 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.
       


Evidence Required

List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.

ELEMENTS

PERFORMANCE CRITERIA

Elements describe the essential outcomes

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions section.

1. Interpret a graph or table

1.1 Write reports based on data that identify relevant relationships within data.

1.2 Calculate row and column percentages from a table.

1.3 Interpret data represented in a table or graph.

2. Interpret data and its summarised highlights

2.1 Define and explain data summaries and trends in a manner suited to the audience.

2.2 Interpret survey data according to accepted standards.

2.3 Interpret data and summarise its highlights.

2.4 Verify interpretation with a suitably qualified person.

3. Interpret a range of official statistics in a policy environment

3.1 Identify and explain data summaries and trends.

3.2 Interpret statistical tests and explain this interpretation.

3.3 Critique the sampling method or survey design.

3.4 Interpret the data in such a way as to inform decision making.

3.5 Verify interpretation with a suitably qualified person.

3.6 Identify the shortcomings of statistical applications in the policy environment.

4. Present statistical results

4.1 Present data in tables, charts and maps so that the reader does not misconstrue it.

4.2 Include glossaries, technical notes and referencing where required.

4.3 Prepare and present reports that include statistical concepts, tables, charts and maps.

4.4 Present findings in a way that is most appropriate for the audience.

4.5 Use charts in presentations that are appropriate to the variables and adhere to accepted standards.

5. Guide others in the interpretation of data

5.1 Define data summaries and trends clearly and communicate to staff involved in the project.

5.2 Communicate the assumptions upon which the interpretation is based, in accordance with audience needs.

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

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

Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assignment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)

Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.

ELEMENTS

PERFORMANCE CRITERIA

Elements describe the essential outcomes

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions section.

1. Interpret a graph or table

1.1 Write reports based on data that identify relevant relationships within data.

1.2 Calculate row and column percentages from a table.

1.3 Interpret data represented in a table or graph.

2. Interpret data and its summarised highlights

2.1 Define and explain data summaries and trends in a manner suited to the audience.

2.2 Interpret survey data according to accepted standards.

2.3 Interpret data and summarise its highlights.

2.4 Verify interpretation with a suitably qualified person.

3. Interpret a range of official statistics in a policy environment

3.1 Identify and explain data summaries and trends.

3.2 Interpret statistical tests and explain this interpretation.

3.3 Critique the sampling method or survey design.

3.4 Interpret the data in such a way as to inform decision making.

3.5 Verify interpretation with a suitably qualified person.

3.6 Identify the shortcomings of statistical applications in the policy environment.

4. Present statistical results

4.1 Present data in tables, charts and maps so that the reader does not misconstrue it.

4.2 Include glossaries, technical notes and referencing where required.

4.3 Prepare and present reports that include statistical concepts, tables, charts and maps.

4.4 Present findings in a way that is most appropriate for the audience.

4.5 Use charts in presentations that are appropriate to the variables and adhere to accepted standards.

5. Guide others in the interpretation of data

5.1 Define data summaries and trends clearly and communicate to staff involved in the project.

5.2 Communicate the assumptions upon which the interpretation is based, in accordance with audience needs.

Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
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. 
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. 
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. 
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. 
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. 
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. 
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. 
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. 
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. 
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. 

Forms

Assessment Cover Sheet

PSPGEN065 - Interpret data and related statistics
Assessment task 1: [title]

Student name:

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I declare that the assessment tasks submitted for this unit are my own work.

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Assessment Record Sheet

PSPGEN065 - Interpret data and related statistics

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Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

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Overall assessment result: Competent Not yet competent

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