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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

1. Collect process data.
   • Interpret sampling scheme
   • Obtain measurements in accordance with standard procedures
   • Handle data as required.
2. Interpret data
   • Plot data on appropriate control chart
   • Distinguish between random and non-random patterns of results
   • Identify results outside the control limits
   • Recognise situations requiring action
   • Take appropriate action in accordance with standard procedures
   • Determine cost of non-conformance
3. Calculate control limits.
   • Consult relevant stakeholders to determine appropriate limits
   • Use relevant methods to calculate/revise control limits
   • Plot limits on control chart
   • Explain impact of limit to relevant stakeholders

Required Skills

Required skills

analysis problem solving communication documenting calculations use of statistics

Required knowledge

sampling techniques purpose of sampling and measurement random systematic stratified sampling relevance reliability and representativeness of samplesdata collected purpose of replication of data for statistical control samples populations finite and infinite populations and the differences methods of calculating means standard deviations and the like and their purpose in statistical control the causes of variation in a process the meaning of broad narrow frequency distributions rangestandard deviations and skewed distributions in process terms types of control charts and their applications to different types of processproduct and for different purposes process causes of variation and typical cause types of nonrandom variation nonprocess eg measurement causes of variation recognition of stable and unstable processes causes of stabilityinstability in the process calculation of control limitsprocess capability and the applications of different control limits the standard distribution curve and confidence limits

Evidence Required

The Evidence Guide describes the underpinning knowledge and skills that must be demonstrated to prove competence It is essential for assessment and must be read conjunction with the performance criteria the range statement and the assessment guidelines of the relevant Training Package
Overview of assessment requirements	The competent person will be able to apply statistical theory to a process to interpret and reduce its variation
What critical aspects of evidence is required to demonstrate competency in this unit	Evidence of the application of statistical theory to a process should be available
In what context should assessment occur	Assessment will need to occur in an organisation implementing statistical process control or by project
Are there any other units which could or should be assessed with this unit or which relate directly to this unit	This unit could be assessed concurrently with other units dealing with process capability andor change management
What method of assessment should apply	Assessors must be satisfied that the person can consistently perform the unit as a whole as defined by the elements performance criteria skills and knowledge A holistic approach should be taken to the assessment Assessors should gather sufficient fair valid reliable authentic and current evidence from a range of sources Sources of evidence may include direct observation reports from supervisors peers and colleagues project work samples organisation records and questioning Assessment should not require language literacy or numeracy skills beyond those required for the unit The assessee will have access to all techniques procedures information resources and aids which would normally be available in the workplace The method of assessment should be discussed and agreed with the assessee prior to the commencement of
What evidence is required for demonstration of consistent performance	Generally the application of statistics over a period of time would be required to generate sufficient evidence
What are the specific resource requirements for this unit	Access to an organisation using statistical control

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Range Statement

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.
Sampling scheme	Sampling scheme may include: sampling for attributes or sampling for variables batch, continuous or custom made products number of items/samples size of sample timing of sampling location of sampling points type of sample number/type of measurements to be done on each sample sampling equipment measurement/testing equipment/methods
Procedures	Procedures includes all work instructions, standard operating procedures, formulas/ recipes, batch sheets, temporary instructions and similar instructions provided for the smooth running of the plant. They may be written, verbal, computer based or in some other form. For the purposes of this Training Package, ' procedures' also includes good operating practice as may be defined by industry codes of practice (eg Good Manufacturing Practice (GMP), Responsible Care) and government regulations.
Handle data	Handle data may include: calculating means, ranges, mean of means, standard deviation (using appropriate calculation aids) entering data into a software package recording data either in writing or electronically other required manipulations of the data.
Control chart	Control charts may include: run tally mean/range attributes other relevant charts
Random	Random variation is the term used in statistical control to refer to those variations for which no cause can be found.
Non-random	Non-random, also called identifiable cause, or assignable cause or special cause are those variations for which a cause can be found and so the cause of the variation eliminated. Non-random variation may also be used to predict possible breaches of the control limits.
Control limits	Control limits, also referred to as process capability are those limits within which the process will operate if it is 'under control'.
Cost of non-conformance	Cost of non-conformance includes: reprocessing/rework expediting unplanned service excess inventory complaint handline downtime returns scrap labour costs material costs infrastructure costs/overhead utility costs
Appropriate limits	Appropriate limits may include: 1 sigma warning limits 2 sigma warning limits 3 sigma control limits 6 sigma limits

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