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Evidence Guide: MSS405057 - Design an experiment

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

 

MSS405057 - Design an experiment

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

Choose an improvement project

  1. Review process or value stream map to identify areas in need of improvement
  2. Select rea of process or value stream for analysis and improvement
  3. Consult with relevant stakeholders to determine objective of experiment
  4. Select factorial design appropriate to objective of experiment
  5. Estimate signal to noise ratio
  6. Determine required number of runs and factorial fraction
  7. Design sequential series of experiments
  8. Calculate resource requirement for this design
  9. Consult with relevant stakeholders to determine whether resource requirements are practical and/or feasible
  10. Modify experiment, if required, to match available resources
  11. Determine metrics relevant to experiment objective and design
Review process or value stream map to identify areas in need of improvement

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Select rea of process or value stream for analysis and improvement

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Consult with relevant stakeholders to determine objective of experiment

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Select factorial design appropriate to objective of experiment

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Estimate signal to noise ratio

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine required number of runs and factorial fraction

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Design sequential series of experiments

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Calculate resource requirement for this design

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Consult with relevant stakeholders to determine whether resource requirements are practical and/or feasible

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Modify experiment, if required, to match available resources

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine metrics relevant to experiment objective and design

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Conduct the experiment

  1. Conduct first run of experiment
  2. Replicate in random order for required number of runs
  3. Block out known sources of variation
  4. Conduct other experiments in series
  5. Record data or oversee recording of data to meet requirements of experiment
Conduct first run of experiment

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Replicate in random order for required number of runs

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Block out known sources of variation

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Conduct other experiments in series

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Record data or oversee recording of data to meet requirements of experiment

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Analyse and confirm the experimental results

  1. Identify aliases and confounding of variables and/or results
  2. Analyse data using statistics pack
  3. Interpret analysed data in line with objectives
  4. Identify confidence level of analysed data
  5. Design experiment to confirm correlations identified
  6. Conduct confirming experiment
  7. Analyse data from confirming experiment
  8. Confirm results or conduct further confirming experiments
Identify aliases and confounding of variables and/or results

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Analyse data using statistics pack

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Interpret analysed data in line with objectives

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Identify confidence level of analysed data

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Design experiment to confirm correlations identified

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Conduct confirming experiment

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Analyse data from confirming experiment

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Confirm results or conduct further confirming experiments

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Required Skills and Knowledge