Required skills

Required skills include

identifying and defining problems

collecting and analysing data

reporting and presenting data and quantitative information

communicating effectively with stakeholders on problem resolution

Required knowledge

Required knowledge includes

discrete and continuous data

presentation data

frequency distribution tables

histograms

ogives

measures of central tendency

arithmetic mean

median

mode

measures of dispersion

standard deviation

range

interquartile range

probability

probability laws

probability distributions binomial and normal

random walk and Monte Carlo methods

statistical inference

large and small samples

sample size

statistical significance student t paired difference and two populations

short cut methods ranksum run tests and KolmogorovSmirnov

linear regression and correlation

analysis of variance

one way two way and multiple

factorial experiments

failure time distributions

reliability and life testing

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

Critical aspects for assessment and evidence required to demonstrate competency in this unit

Assessors must be satisfied that the candidate can competently and consistently

identify appropriate statistical techniques for engineering or related problems

apply the appropriate technique to the problem

communicate the outcome of the analysis in an appropriate way

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 that is the candidate is not in productive work then a simulated working environment must be used where the range of conditions reflects realistic workplace situations The competency 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 its 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 able not only 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

Problem definition

Data available

Information required

Statistical techniques

Computational device

Appropriate action

Appropriate technique

Check answer

Interpret answer

Appropriate communication

Check outcome