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 describe the essential outcomes. | Performance criteria describe the performance needed to demonstrate achievement of the element. |
1 | Perform scientific calculations | 1.1 | Ensure raw data are consistent with expectations and reasonable ranges |
| 1.2 | Calculate scientific quantities involving algebraic, power, exponential and/or logarithmic functions |
| 1.3 | Ensure calculated quantities are consistent with estimations |
| 1.4 | Present results using the appropriate units, uncertainties and number of significant figures |
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2 | Analyse trends and relationships in data | 2.1 | Determine linear and non-linear relationships between sets of data |
| 2.2 | Prepare and analyse control charts to determine if a process is in control |
| 2.3 | Identify possible causes for out-of-control condition |
| 2.4 | Follow workplace procedures to return process to in-control operation |
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3 | Determine variation and/or uncertainty in data distributions | 3.1 | Organise raw data into appropriate frequency distributions |
| 3.2 | Calculate means, medians, modes, ranges and standard deviations for ungrouped and grouped data |
| 3.3 | Interpret frequency distributions to determine the characteristics of the sample or population |
| 3.4 | Calculate standard deviations and confidence limits for means and replicates |
| 3.5 | Estimate the uncertainty in measurements using statistical analysis |
| 3.6 | Determine data acceptability using statistical tests and workplace procedures |
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4 | Check for aberrant results | 4.1 | Identify results that cannot be reconciled with sample, sample documentation, testing procedures and/or expected outcomes |
| 4.2 | Determine appropriate actions in consultation with supervisor as required |
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5 | Report results | 5.1 | Use charts, tables and graphs to present results in the required format |
| 5.2 | Verify that entry of data and results are correct |
| 5.3 | Prepare reports and records in a format and style consistent with their intended use and workplace guidelines |
| 5.4 | Communicate results within the specified time and in accordance with workplace confidentiality and security guidelines |
Evidence of competence in this unit must satisfy all of the requirements of the elements and performance criteria, and include demonstration of:
performing laboratory computations involving:
evaluation of formulae containing algebraic, logarithmic, exponential and power functions
calculation of uncertainties
calculating scientific quantities, including at least five (5) of the following:
percentage and absolute uncertainties in measurements and test results
pH, [H+], [OH-], buffer calculations, Ka, pKa, Kb, pKb and Kw
solubility constants Ks and pKs
radioactivity (half life, dose, activity and exposure)
optical properties (absorbance/transmittance, path length, extinction coefficient, concentration (Beers law) and detection limits)
electrical properties (conductivity, resistivity and dielectric constants)
mechanical properties (stress, strain, elastic moduli, yield strength and hardness)
thermal properties (heat capacity, thermal expansion, thermal conductivity and thermal resistance)
food content (%) of water, ash, dietary and crude fibre, carbohydrate, protein, fat and specific vitamin
quantities associated with quality control monitoring, assessment and reporting
using and interpreting statistical analysis and significance tests including at least five (5) of the following:
mean, median, mode, range, variance and standard deviation
measures of central tendency and dispersion
histograms, frequency plots, stem and leaf plots, boxplots and scatter plots
probability and normal probability plots
Pareto diagrams, Stewhart control charts and CuSum control charts
regression methods for calibration, linearity checks and comparing analytical methods
data acceptability tests, such as Q, T and Youden
t-test, f-test, analysis of variance (ANOVA)
using and interpreting graphical analysis including at least three (3) of the following:
preparation and interpretation of linear, semi-log and log-log graphs
determination of linear, logarithmic, exponential and power relationships
regression lines and interpretation of correlation coefficients
preparation of frequency distributions for given data
preparation of complex control charts
analysing trends and uncertainty in data
analysing data to determine relationships between variables
reporting accurate results in the required formats and expected timeframe
storing, retrieving and manipulating data following document traceability procedures
maintaining the security and confidentiality of data in accordance with workplace and regulatory requirements
Must provide evidence that demonstrates knowledge of:
scientific and technical terminology, such as variables, dispersion, central tendency, process control, process stability, normal distribution, confidence level and replication
the characteristics of a valid measurement
relevance/importance of the national measurement legislation and guidelines to laboratory measurement
sources and estimates of uncertainty in measurements
procedures for data traceability
procedures for verifying data and rectifying mistakes
procedures for maintaining and filing records, and maintaining security of data
work health and safety (WHS) and environment requirements.
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.