Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners
MSL925001 Mapping and Delivery Guide
Analyse data and report results
Version 1.0
Issue Date: May 2024
Qualification | - |
Unit of Competency | MSL925001 - Analyse data and report results |
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Description | |||
Employability Skills | |||
Learning Outcomes and Application | This unit of competency covers the ability to perform scientific calculations, analyse trends and uncertainty in data and report results within the required timeframe.This unit of competency is applicable to technical officers and laboratory technicians working in all industry sectors.While no specific licensing or certification requirements apply to this unit at the time of publication, laboratory operations are governed by relevant legislation, regulations and/or external accreditation requirements. Local requirements should be checked. | ||
Duration and Setting | X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting. Judgement of competence must be based on holistic assessment of the evidence. Assessment methods must confirm consistency of performance over time, rather than a single assessment event. This unit of competency is to be assessed in the workplace or a simulated workplace environment. A simulated workplace environment must reflect realistic operational workplace conditions that cover all aspects of workplace performance, including the environment, task skills, task management skills, contingency management skills and job role environment skills. Foundation skills are integral to competent performance of the unit and should not be assessed separately. 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. Knowledge evidence may be collected concurrently with performance evidence or through an independent process, such as workbooks, written assessments or interviews (provided a record is kept in each case). This unit of competency may be assessed with: MSL924002 Use laboratory application software technical units, such as: relevant MSL974000 series units of competency relevant MSL975000 series units of competency Holistic assessment methods include: review of data worksheets, calculations, computer files (such as spreadsheets and databases), statistical analysis, graphs and/or tables prepared by the candidate questions to assess understanding of relevant procedures, trends in data and sources of uncertainty review of reports and records prepared by the candidate feedback from supervisors and peers regarding the candidate's ability to analyse and report data in accordance with workplace procedures. Access is required to instruments, equipment, materials, workplace documentation, procedures and specifications associated with this unit, including, but not limited to: data sets and records calculator computer and relevant software, including spreadsheets, databases and statistical packages or laboratory information system relevant workplace procedures. Assessors must satisfy the assessor competency requirements that are in place at the time of the assessment as set by the VET regulator. The assessor must demonstrate both technical competency and currency. Technical competence can be demonstrated through: relevant VET or other qualification/Statement of Attainment AND/OR relevant workplace experience. Currency can be demonstrated through: performing the competency being assessed as part of current employment OR having consulted with a laboratory about performing the competency being assessed within the last twelve months. |
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Prerequisites/co-requisites | |||
Competency Field | Data |
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 | |
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Elements of Competency | Performance Criteria | |||||||
Element: Perform scientific calculations |
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Element: Analyse trends and relationships in data |
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Element: Determine variation and/or uncertainty in data distributions |
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Element: Check for aberrant results |
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Element: Report results |
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