Analyse data and report results

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 MSL925001A, 'Analyse data and report results'.
Google Links
links to google searches, with filtering in place to maximise the usefulness of the returned results
Reference books for 'Analyse data and report results' on This online store has a huge range of books, pretty reasonable prices, free delivery in Australia *and* they give a small commission to for every purchase, so go nuts :)

Elements and Performance Criteria



1. Perform scientific calculations

1.1. Ensure raw data are consistent with expectations and reasonable ranges

1.2. Calculate scientific quantities involving algebraic, power, exponential and/or logarithmic functions

1.3. Ensure calculated quantities are consistent with estimations

1.4. Present results using the appropriate units, uncertainties and number of significant figures

2. Analyse trends and relationships in data

2.1. Determine linear and non-linear relationships between sets of data

2.2. Prepare and analyse control charts to determine if a process is in control

2.3. Identify possible causes for out-of-control condition

2.4. Follow enterprise procedures to return process to in-control operation

3. Determine variation and/or uncertainty in data distributions

3.1. Organise raw data into appropriate frequency distributions

3.2. Calculate means, medians, modes, ranges and standard deviations for ungrouped and grouped data

3.3. Interpret frequency distributions to determine the characteristics of the sample or population

3.4. Calculate standard deviations and confidence limits for means and replicates

3.5. Estimate the uncertainty in measurements using statistical analysis

3.6. Determine data acceptability using statistical tests and enterprise procedures

4. Check for aberrant results

4.1. Identify results that cannot be reconciled with sample, sample documentation, testing procedures and/or expected outcomes

4.2. Determine appropriate actions in consultation with supervisor as required

5. Report results

5.1. Use charts, tables and graphs to present results in the required format

5.2. Verify that entry of data and results are correct

5.3. Prepare reports in a format and style consistent with their intended use and enterprise guidelines

5.4. Communicate results within the specified time and in accordance with enterprise confidentiality and security guidelines