Unit of competency Outline
Date retreived
22/07/2026 11:30 AM AWST
22/07/2026 11:30 AM AWST
Whilst all efforts are made to provide accurate and timely information from the relevant source/documentation, please be aware that the information supplied may not be the most current version. The accuracy of the detail has not been confirmed by the Department and therefore should not be relied upon without first confirming the contents.
Analyse data for business decision making
Analyse data for business decision making
Unit of competency
National Code
MTMBUS803A
MTMBUS803A
State Code
D8748
D8748
TGA Status
Replaced
Replaced
DTWD Status
Replaced
Replaced
State Implementation and Classification
Approved Date
02/05/2012
Field of Education
080301 - Business Management
Original Release Date
02/05/2012
Nominal Hours
100
Description
This unit covers the statistical skills and knowledge required to support decision making for a business or business unit.
Notes
Elements and Performance Criteria
1. Identify and access data sources available to the business
- 1.1. The data collection requirement of the business question or issue is scoped and defined.
- 1.2. Data sources are identified and assessed for accessibility and reliability.
- 1.3. Data is researched and/or collated from sources in accordance with legislation, policies and guidelines.
- 1.4. Accuracy and appropriateness of the data is evaluated.
- 1.5. Data is recorded in the desired format in accordance with professional, business and task requirements.
2. Apply data analysis and decision making techniques to analyse business data
- 2.1. Data is collected, stored and retrieved using software in accordance with legislation, policy and guidelines.
- 2.2. Spreadsheet tools are used to retrieve data and present it in suitable formats.
- 2.3. Graphical data is displayed in accordance with graphical presentation principles.
- 2.4. Quantitative and/or qualitative analysis is performed to obtain required outcome.
- 2.5. Analysis and descriptive tools and techniques are used appropriately given the nature of the information and the required outcomes.
- 2.6. Limitations in the methodology are identified and described, as appropriate.
- 2.7. Summary statistics are calculated from the given data set in accordance with the business requirement.
3. Produce information for business decision making
- 3.1. Data summaries and trends are interpreted according to accepted standards.
- 3.2. Statistical tests are interpreted and explained.
- 3.3. Data is interpreted in such a way as to inform business decision making.
- 3.4. Data is presented in tables, charts and maps so that the reader does not misconstrue it.
- 3.5. Glossaries, technical notes and referencing are included with the data, where required.
- 3.6. Reports are prepared and presented that include statistical concepts, tables, charts and maps in accordance with organisational policy and procedures.
- 3.7. Findings are presented in a way that is most appropriate for the audience.
- 3.8. Charts are used appropriately in presentations for the variables being charted and in accordance with accepted standards.
- 3.9. Assumptions on which the interpretation is based are communicated in accordance with audience needs.
RANGE STATEMENT
The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.
Data sources may include:
Australian Bureau of Statistics (ABS) data
government agency sources.
Legislation, policies and guidelines may include:
state/territory and federal legislation and regulations, such as:
financial management Acts
privacy legislation
Equal Employment Opportunity (EEO) and anti-discrimination legislation
Occupational Health and Safety (OH&S) legislation
ethics and accountability standards
risk management standards
fraud control standards
knowledge management standards
organisational policy, procedures and protocols.
Software may include:
database tools
spreadsheets
web-based tools (e.g. online survey tools)
statistical packages.
Graphical presentation principles may include:
understanding graphical literacy of audience
scaling
sample representativeness
reporting results in formats appropriate to analysis.
Analysis techniques may include:
arranging data into a form appropriate for analysis
construction of graphs
calculation of summary statistics
implementation of statistical tests.
Summary statistics may include:
mean
median
mode
standard deviation
standard error
relative standard error.
Accepted standards for data may include:
showing awareness of data accuracy and reliability
identifying other related issues, such as sample size.
Statistical tests may include:
equivalence of means and proportions
tests of association, prediction and significance.
Statistical concepts may include:
the results of statistical tests
trends over time
statistical associations, including correlation and probability
variability
sampling error.
Presentation of findings may include:
a mix of text, tables, charts and maps.
Accepted standards for charts may include:
appropriately labelled
appropriate scale selection
clear formatting
sourcing and referencing data sources.
The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.
Data sources may include:
Australian Bureau of Statistics (ABS) data
government agency sources.
Legislation, policies and guidelines may include:
state/territory and federal legislation and regulations, such as:
financial management Acts
privacy legislation
Equal Employment Opportunity (EEO) and anti-discrimination legislation
Occupational Health and Safety (OH&S) legislation
ethics and accountability standards
risk management standards
fraud control standards
knowledge management standards
organisational policy, procedures and protocols.
Software may include:
database tools
spreadsheets
web-based tools (e.g. online survey tools)
statistical packages.
Graphical presentation principles may include:
understanding graphical literacy of audience
scaling
sample representativeness
reporting results in formats appropriate to analysis.
Analysis techniques may include:
arranging data into a form appropriate for analysis
construction of graphs
calculation of summary statistics
implementation of statistical tests.
Summary statistics may include:
mean
median
mode
standard deviation
standard error
relative standard error.
Accepted standards for data may include:
showing awareness of data accuracy and reliability
identifying other related issues, such as sample size.
Statistical tests may include:
equivalence of means and proportions
tests of association, prediction and significance.
Statistical concepts may include:
the results of statistical tests
trends over time
statistical associations, including correlation and probability
variability
sampling error.
Presentation of findings may include:
a mix of text, tables, charts and maps.
Accepted standards for charts may include:
appropriately labelled
appropriate scale selection
clear formatting
sourcing and referencing data sources.
EVIDENCE GUIDE
The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, range statement and the Assessment Guidelines for the Training Package.
Overview of assessment
Critical aspects for assessment and evidence required to demonstrate competency in this unit
Evidence of the following is essential:
knowledge of how to:
differentiate between different types of data
differentiate between inferential and descriptive statistics
application of linear regression and correlation analysis techniques
knowledge of the strengths and limitations of results produced by each statistical technique (error correction and hypothesis testing)
provision of advice for business decision making based on the results of statistical analysis.
Context of and specific resources for assessment
Assessment must ensure:
access to an actual workplace or simulated environment
competence is consistently demonstrated over time, and over a range and variety of complex tasks/projects and situations
access to resources normally used in the workplace such as organisational policies and procedures, relevant legislation.
Method of assessment
A range of assessment methods should be used to assess practical skills and knowledge. The following examples are appropriate for this unit:
direct questioning combined with review of portfolios of evidence and third-party workplace reports of on-the-job performance by the candidate
series of workplace activities and projects developed and implemented as part of the organisation's business development and management
review of applied projects and learning activities such as reports and case studies
direct observation of contextual application
oral or written questioning to assess knowledge.
Guidance information for assessment
Holistic assessment with other units relevant to the industry sector, workplace and job role is recommended, for example, with other units in the qualification in which this unit is packaged.
The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, range statement and the Assessment Guidelines for the Training Package.
Overview of assessment
Critical aspects for assessment and evidence required to demonstrate competency in this unit
Evidence of the following is essential:
knowledge of how to:
differentiate between different types of data
differentiate between inferential and descriptive statistics
application of linear regression and correlation analysis techniques
knowledge of the strengths and limitations of results produced by each statistical technique (error correction and hypothesis testing)
provision of advice for business decision making based on the results of statistical analysis.
Context of and specific resources for assessment
Assessment must ensure:
access to an actual workplace or simulated environment
competence is consistently demonstrated over time, and over a range and variety of complex tasks/projects and situations
access to resources normally used in the workplace such as organisational policies and procedures, relevant legislation.
Method of assessment
A range of assessment methods should be used to assess practical skills and knowledge. The following examples are appropriate for this unit:
direct questioning combined with review of portfolios of evidence and third-party workplace reports of on-the-job performance by the candidate
series of workplace activities and projects developed and implemented as part of the organisation's business development and management
review of applied projects and learning activities such as reports and case studies
direct observation of contextual application
oral or written questioning to assess knowledge.
Guidance information for assessment
Holistic assessment with other units relevant to the industry sector, workplace and job role is recommended, for example, with other units in the qualification in which this unit is packaged.
Replaced By
| State Code | National Code | Title | Type |
|---|---|---|---|
| AVW79 | AMPMGT809 | Analyse data for business decision making | Unit of competency |
| State Code | National Code | Title | Type |
|---|---|---|---|
| 9644 | 52492WA | Graduate Diploma of Aquaculture Hatchery Management | Accredited course |