Elements and Performance Criteria

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.
Engineering applications related to statistics and probability techniques in this unit
Most engineering disciplines will have applications supported by the statistics and probability skills described in this unit, including mechanical, manufacturing, maintenance and mechatronics engineering. Examples of engineering applications requiring statistics and probability skills described in this unit may include:
assisting decision making in industry by analysis of data using statistical and probability concepts and tools
informing maintenance decisions and reliability analysis
identifying the most appropriate outcome of manufacturing trials
determining the effectiveness of process improvement techniques
Scope of statistical and probability techniques
The scope of statistics and probability techniques required for an engineering or manufacturing application will vary and may include:
use of discrete or continuous data
application of measures of central tendency, such as:
mean
median
mode
application of measures of distribution, such as:
standard deviation
range
interquartile range
analysis of statistical inference, such as:
sample size
statistical significance
application of probability concepts and tools, such as:
probability laws
probability distributions

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
A person who demonstrates competency in this unit must be able to apply statistics and probability techniques to engineering-related problems within the context of specified engineering applications and other solution validation and technical oversight procedures. The candidate may demonstrate competence through either working individually or as part of a team.
Critical aspects for assessment and evidence required to demonstrate competency in this unit
Assessors must be satisfied that the candidate can competently and consistently:
solve engineering and manufacturing problems using statistics and probability techniques
validate results of simple examples using statistics and probability either analytically and/or graphically
assist decision making processes in industry by analysis of data using statistical and probability concepts and tools.
Context of and specific resources for assessment
This unit may be assessed on the job, off the job or a combination of both on and off the job. Where assessment occurs off the job then a simulated working environment must be used where the range of conditions reflects realistic workplace situations. The competencies covered by this unit would be demonstrated by an individual working alone or as part of a team.
Where applicable, reasonable adjustment must be made to work environments and training situations to accommodate ethnicity, age, gender, demographics and disability.
Access must be provided to appropriate learning and/or assessment support when required. Where applicable, physical resources should include equipment modified for people with disabilities.
Method of assessment
Assessment must satisfy the endorsed Assessment Guidelines of the MEM05 Metal and Engineering Training Package.
Assessment methods must confirm consistency and accuracy of performance (over time and in a range of workplace relevant contexts) together with application of underpinning knowledge.
Assessment methods must be by direct observation of tasks and include questioning on underpinning knowledge to ensure correct interpretation and application.
Assessment may be applied under project-related conditions (real or simulated) and require evidence of process.
Assessment must confirm a reasonable inference that competency is not only able to be satisfied under the particular circumstance, but is able to be transferred to other circumstances.
Assessment may be in conjunction with assessment of other units of competency where required.
Guidance information for assessment
Assessment processes and techniques must be culturally appropriate and appropriate to the language and literacy capacity of the candidate and the work being performed.