MSL925006 — Analyse data and report results

1 Perform scientific calculations

• 1.1Ensure raw data are consistent with expectations and reasonable ranges
• 1.2Calculate scientific quantities involving algebraic, power, exponential and/or logarithmic functions
• 1.3Ensure calculated quantities are consistent with estimations
• 1.4Present results using the appropriate units, uncertainties and number of significant figures

2 Analyse trends and relationships in data

• 2.1Determine linear and non-linear relationships between sets of data
• 2.2Prepare and analyse control charts to determine if a process is in control
• 2.3Identify possible causes for out-of-control condition
• 2.4Follow workplace procedures to return process to in-control operation

3 Determine variation and/or uncertainty in data distributions

• 3.1Organise raw data into appropriate frequency distributions
• 3.2Calculate statistical parameters of grouped and/or ungrouped data
• 3.3Interpret frequency distributions to determine the characteristics of the sample or population
• 3.4Calculate standard deviations and confidence limits for means and replicates
• 3.5Determine data acceptability using statistical tests and workplace procedures

4 Check for aberrant results

• 4.1Identify results that cannot be reconciled with sample, sample documentation, testing procedures and/or expected outcomes
• 4.2Determine appropriate actions in consultation with supervisor

5 Report results

• 5.1Use charts, tables and graphs to present results in the required format
• 5.2Verify that entry of data and results are correct
• 5.3Prepare reports and records in a format and style consistent with their intended use and workplace guidelines
• 5.4Communicate results within the specified time and in accordance with workplace confidentiality and security guidelines

What does an assessment tool for MSL925006 need to cover?

To satisfy the Principles of Assessment and Rules of Evidence, an assessment for MSL925006 needs to address all 46 unit components: 5 elements with 19 performance criteria, 19 performance evidence requirements, 8 knowledge evidence requirements, and the foundation skills. A coverage matrix mapping each question and task to these components is what an auditor looks for.

How does Auditori generate an assessment tool for MSL925006?

Auditori pulls the current release of MSL925006 from training.gov.au and generates a complete package: candidate assessment, assessor guide with model answers and observation criteria, and a coverage matrix mapping every component. A suitably qualified person then reviews and approves the draft in a built-in workflow — consistent with ASQA's guidance on AI use in VET — before export as branded PDF and editable Word.

Is the first assessment tool really free?

Yes. Every new account includes one free credit — enough to generate the complete assessment tool for MSL925006 — with no card and no subscription required. After that it's pay-as-you-go per unit.

Can I check my existing MSL925006 assessment instead of generating a new one?

Yes — upload your existing assessment or learner guide and Auditori maps it against every element, performance criterion, PE and KE of MSL925006, showing exactly what's covered and what's missing. Mapping costs a quarter of a credit.