Unit of competency details
MEM234021 - Apply statistics to technology problems (Release 1)
Summary
Usage recommendation:
Current
Releases:
| 1 1 (this release) |
19/Dec/2022 |
Companion volumes:
Unit of competency
Assessment requirements
Training packages that include this unit
Qualifications that include this unit
Classifications
Classification history
| ASCED Module/Unit of Competency Field of Education Identifier | 010103 | Statistics | 19/Dec/2022 | |
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Unit of competency
Modification History
Release 1. Supersedes and is equivalent to MEM234021A Apply statistics to technology problems.
Application
This unit of competency defines the skills and knowledge required to apply advanced statistics in an engineering or related application and includes probability distributions, correlation, inference and significance,. It includes both the application of theory in simple calculations and the use of statistical tables and equations either manually or through the use of relevant statistical packages for more complex situations.
It is suitable for paraprofessionals and technologists required to solve advanced statistical problems in an engineering or related field, or for those pursuing technologist careers and qualifications.
Individuals completing this work either already have or are developing skills and experience in probability and statistics covering central tendency, measures of variability and confidence limits.
No licensing, legislative or certification requirements apply to this unit at the time of publication.
Pre-requisite Unit
Nil
Competency Field
Engineering science
Elements and Performance Criteria
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Elements
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Performance Criteria
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Elements describe the essential outcomes.
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Performance criteria describe the performance needed to demonstrate achievement of the element.
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1. Identify a need for the application of statistics
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1.1 Identify and define a problem requiring a statistical application and which allows for statistical analysis and the application of quantitative data
1.2 Determine data currently available for analysis
1.3 Determine information required from outcome
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2. Prepare to solve statistical problem
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2.1 Determine statistical techniques to be applied
2.2 Identify and gain access to appropriate computational devices
2.3 Collect required input data
2.4 Analyse collected data for suitability and completeness
2.5 Take appropriate action to address any deficiencies found
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3. Solve statistical problem
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3.1 Apply appropriate techniques to collected data
3.2 Check answer to ensure it is within the expected rational results
3.3 Interpret answer to determine information required by problem definition and translate the result of the statistical analysis into a form which is useable by relevant stakeholders
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4. Communicate outcomes
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4.1 Communicate outcome to relevant stakeholders by appropriate means
4.2 Explain outcome to stakeholders, as appropriate to nature of the problem
4.3 Confirm that the result of the analysis assists in the resolution of the problem
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Foundation Skills
This section describes those language, literacy, numeracy and employment skills that are essential to performance.
Foundation skills essential to performance are explicit in the performance criteria of this unit of competency.
Range of Conditions
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This field allows for different work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included.
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Statistical techniques include:
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- the techniques listed under Knowledge Evidence.
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Computational devices include:
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- calculators with statistical functions
- computer software packages.
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Appropriate actions include:
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- taking necessary steps to obtain required data
- obtaining some relevant proxy for the desired data
- choosing a different statistical technique and computational device which will function with available data.
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Appropriate techniques include:
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- selected statistical technique which will yield required outcome
- technique which is appropriate for the available data and which is relevant to the problem.
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Appropriate communication includes one or more of the following:
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- report
- presentation
- verbal communication
- web-based
- electronic or hard copy.
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Unit Mapping Information
Release 1. Supersedes and is equivalent to MEM234021A Apply statistics to technology problems.
Links
Companion Volume Implementation Guides are available on VETNet - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=b7050d37-5fd0-4740-8f7d-3b7a49c10bb2
Assessment requirements
Modification History
Release 1. Supersedes and is equivalent to MEM234021A Apply statistics to technology problems.
Performance Evidence
Evidence required to demonstrate competence in this unit must be relevant to and satisfy the requirements of the elements and performance criteria and include:
- identifying and defining problems
- identifying appropriate statistical techniques for engineering or related problems
- applying the appropriate technique and solving and confirming answer using the technique on at least two occasions
- communicating the outcome of the analysis in a manner suited to the stakeholder/s and confirming the outcome has addressed the problem.
Note: Where a volume and/or frequency is not specified, demonstration must be provided at least once.
Knowledge Evidence
Evidence required to demonstrate the required knowledge for this unit must be relevant to and satisfy the requirements of the elements and performance criteria and include knowledge of:
- discrete and continuous data
- presentation data including:
- frequency distribution tables
- histograms
- ogives
- measures of central tendency including:
- arithmetic mean
- median
- mode
- measures of dispersion including:
- interquartile range
- probability including:
- probability laws
- probability distributions, both binomial, and normal
- random walk and Monte Carlo methods
- statistical inference including:
- large and small samples
- sample size
- statistical significance
- short cut methods including rank-sum, run tests and Kolmogorov-Smirnov
- linear regression and correlation
- analysis of variance including:
- one-way, two-way and multiple
- factorial experiments
- failure time distributions
- reliability and life testing.
Assessment Conditions
- have vocational competency in applying statistics to technology problems at least to the level being assessed with relevant industry knowledge and experience
- satisfy the assessor requirements in the Standards for Registered Training Organisations 2015 or its replacement and comply with the National Vocational Education and Training Regulator Act 2011, its replacement or equivalent legislation covering VET regulation in a non-referring state/territory as the case requires.
- Where possible assessment must occur in operational workplace situations. Where this is not possible or where personal safety or environmental damage are limiting factors, assessment must occur in a sufficiently rigorous simulated environment that reflects realistic operational workplace conditions that cover all aspects of workplace performance, including environment, task skills, task management skills, contingency management skills and job role environment skills.
- Conditions for assessment must include access to all tools, equipment, materials and documentation required including relevant workplace procedures, product and manufacturing specifications.
- Assessment processes and techniques must be appropriate to the language, literacy and numeracy requirements of the work being performed and the needs of the candidate.
Links
Companion Volume Implementation Guides are available on VETNet - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=b7050d37-5fd0-4740-8f7d-3b7a49c10bb2
