Required skills

Required skills include

analysing engineering applications to determine relevant statistics and probability techniques

applying relevant statistical and probability concepts and tools and applying to engineering applications

using appropriate software to generate solutions to statistical and probabilityrelated engineering problems

establishing appropriate procedures for checking and validating solutions

logical layout and presentation of data

reporting and effectively communicating the results of statistical and probabilitybased analysis

Required knowledge

Required knowledge includes

meaning and appropriate application of discrete and continuous data

concepts of mean median and mode and their application to engineering and manufacturing problems requiring statisticsbased solutions

standard deviation range interquartile range and frequency distributions

use of appropriate software andor scientific calculators to generate solutions to statistical and probabilityrelated engineering problems and methods for presentation of data such as

frequency distribution tables

histograms

the concept of variance and its application to engineering and manufacturing situations

application of statistical modelling to engineering and manufacturing situations

translation of statistical data into engineering parameters and the applications to

process improvement techniques

reliability analysis

concepts of probability

single events

multiple events

with permutations and combinations

probability distributions

normal

binomial

sampling distributions

sample size

statistical significance

confidence intervals

application of probabilitybased solutions to engineering and manufacturing problems

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 engineeringrelated 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 andor 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 andor 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 MEM Metal and Engineering Training Package

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 projectrelated 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

Engineering applications related to statistics and probability techniques in this unit

Scope of statistical and probability techniques