Design an experiment

Formats and tools

Unit Description
Reconstruct the unit from the xml and display it as an HTML page.
Assessment Tool
an assessor resource that builds a framework for writing an assessment tool
Assessment Template
generate a spreadsheet for marking this unit in a classroom environment. Put student names in the top row and check them off as they demonstrate competenece for each of the unit's elements and performance criteria.
Assessment Matrix
a slightly different format than the assessment template. A spreadsheet with unit names, elements and performance criteria in separate columns. Put assessment names in column headings to track which performance criteria each one covers. Good for ensuring that you've covered every one of the performance criteria with your assessment instrument (all assessement tools together).
Wiki Markup
mark up the unit in a wiki markup codes, ready to copy and paste into a wiki page. The output will work in most wikis but is designed to work particularly well as a Wikiversity learning project.
Evidence Guide
create an evidence guide for workplace assessment and RPL applicants
Competency Mapping Template
Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners. A template for developing assessments for a unit, which will help you to create valid, fair and reliable assessments for the unit, ready to give to trainers and students
Observation Checklist
create an observation checklist for workplace assessment and RPL applicants. This is similar to the evidence guide above, but a little shorter and friendlier on your printer. You will also need to create a seperate Assessor Marking Guide for guidelines on gathering evidence and a list of key points for each activity observed using the unit's range statement, required skills and evidence required (see the unit's html page for details)

Self Assessment Survey
A form for students to assess thier current skill levels against each of the unit's performance criteria. Cut and paste into a web document or print and distribute in hard copy.
Moodle Outcomes
Create a csv file of the unit's performance criteria to import into a moodle course as outcomes, ready to associate with each of your assignments. Here's a quick 'how to' for importing these into moodle 2.x
Registered Training Organisations
Trying to find someone to train or assess you? This link lists all the RTOs that are currently registered to deliver MSS405052A, 'Design an experiment'.
Google Links
links to google searches, with filtering in place to maximise the usefulness of the returned results
Books
Reference books for 'Design an experiment' on fishpond.com.au. This online store has a huge range of books, pretty reasonable prices, free delivery in Australia *and* they give a small commission to ntisthis.com for every purchase, so go nuts :)


Elements and Performance Criteria

1

Choose an improvement project

1.1

Review a process/value stream map

1.2

Identify areas in need of improvement

1.3

Select a process/value stream area for analysis and improvement

1.4

Determine the objective of the experiment in consultation with relevant stakeholders

2

Design the experiment

2.1

Select appropriate factorial design

2.2

Estimate signal to noise ratio

2.3

Determine required number of runs and factorial fraction

2.4

Determine resolution

2.5

Design a sequential series of experiments

2.6

Calculate resource requirement for this design

2.7

Determine whether resource requirements are practical in consultation with relevant stakeholders

2.8

Modify experiment, if required, to match available resources

2.9

Determine/develop required metrics

3

Conduct the experiment

3.1

Conduct first run of experiment

3.2

Replicate in random order for required number of runs

3.3

Block out known sources of variation

3.4

Conduct other experiments in series

3.5

Record data/have data recorded

4

Analyse and confirm the experimental results

4.1

Identify aliases/confounding of variables/results

4.2

Analyse data using statistics pack or similar

4.3

Interpret analysed data in line with objectives

4.4

Identify confidence level of analysed data

4.5

Design experiment to confirm correlations identified

4.6

Conduct confirming experiment

4.7

Analyse data from confirming experiment

4.8

Confirm results (or conduct further experiments)