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Evidence Guide: FDFOP2015A - Apply principles of statistical process control

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

FDFOP2015A - Apply principles of statistical process control

What evidence can you provide to prove your understanding of each of the following citeria?

Collect statistical information

  1. Data requirements are identified
  2. Data is collected to meet requirements
Data requirements are identified

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Data is collected to meet requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Analyse and interpret data

  1. Data is analysed to identify variation
  2. Trends in data are identified
  3. Corrective action requirements are determined based on data
Data is analysed to identify variation

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Trends in data are identified

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Corrective action requirements are determined based on data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

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

Assessment must be carried out in a manner that recognises the cultural and literacy requirements of the assessee and is appropriate to the work performed. Competence in this unit must be achieved in accordance with food safety standards and regulations.

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

Evidence of ability to:

identify data for collection and requirements for ensuring accuracy

interpret data

document data on charts, graphs or required workplace format

identify need for corrective action.

Context of and specific resources for assessment

Assessment must occur in a real or simulated workplace where the assessee has access to:

statistical process control data

related data collection and analysis systems

calculator.

Method of assessment

This unit should be assessed together with core units and other units of competency relevant to the function or work role.

Guidance information for assessment

To ensure consistency in one's performance, competency should be demonstrated on more than one occasion over a period of time in order to cover a variety of circumstances, cases and responsibilities, and where possible, over a number of assessment activities.

Required Skills and Knowledge

Required skills

Ability to:

identify and collect required data

retrieve/access data, which may require use of computer programs to access and analyse data, and the ability to locate the relevant information or screens to collect and analyse the data

apply basic statistical analysis techniques to meet work requirements, such as plotting data on charts (e.g. run or control charts) and identify variation according to given limits

interpret data to identify trends (manually or using a computer program)

determine when corrective action is required, such as identifying upper and lower control limits (and warning limits where relevant)

Required knowledge

Knowledge of:

data sampling method, including the nature of the sample on which data is based and the reasons for different sampling requirements that may apply in a given situation

concept of variation, including the difference between common and special causes of variation and consequent options for reducing variation and remaining within a given range

the purpose and process of establishing targets and limits

concept of standard distribution/standard deviation

methods used to analyse statistical data, including methods to determine the average, median and mean, and what these measures indicate

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.

Data collection

Data collection may be based on a sampling regime followed by an operator or collected automatically. Data collection may include:

collecting samples and taking measurements

Data analysis

Data analysis typically involves:

use of computer programs but may also be carried out manually