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Evidence Guide: MSL925001 - Analyse data and report results

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

 

MSL925001 - Analyse data and report results

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

Perform scientific calculations

  1. Ensure raw data are consistent with expectations and reasonable ranges
  2. Calculate scientific quantities involving algebraic, power, exponential and/or logarithmic functions
  3. Ensure calculated quantities are consistent with estimations
  4. Present results using the appropriate units, uncertainties and number of significant figures
Ensure raw data are consistent with expectations and reasonable ranges

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Ensure calculated quantities are consistent with estimations

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Analyse trends and relationships in data

  1. Determine linear and non-linear relationships between sets of data
  2. Prepare and analyse control charts to determine if a process is in control
  3. Identify possible causes for out-of-control condition
  4. Follow workplace procedures to return process to in-control operation
Determine linear and non-linear relationships between sets of data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify possible causes for out-of-control condition

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Follow workplace procedures to return process to in-control operation

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Determine variation and/or uncertainty in data distributions

  1. Organise raw data into appropriate frequency distributions
  2. Calculate means, medians, modes, ranges and standard deviations for ungrouped and grouped data
  3. Interpret frequency distributions to determine the characteristics of the sample or population
  4. Calculate standard deviations and confidence limits for means and replicates
  5. Estimate the uncertainty in measurements using statistical analysis
  6. Determine data acceptability using statistical tests and workplace procedures
Organise raw data into appropriate frequency distributions

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Calculate standard deviations and confidence limits for means and replicates

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Estimate the uncertainty in measurements using statistical analysis

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Determine data acceptability using statistical tests and workplace procedures

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Check for aberrant results

  1. Identify results that cannot be reconciled with sample, sample documentation, testing procedures and/or expected outcomes
  2. Determine appropriate actions in consultation with supervisor as required
Identify results that cannot be reconciled with sample, sample documentation, testing procedures and/or expected outcomes

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Determine appropriate actions in consultation with supervisor as required

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Report results

  1. Use charts, tables and graphs to present results in the required format
  2. Verify that entry of data and results are correct
  3. Prepare reports and records in a format and style consistent with their intended use and workplace guidelines
  4. Communicate results within the specified time and in accordance with workplace confidentiality and security guidelines
Use charts, tables and graphs to present results in the required format

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Verify that entry of data and results are correct

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare reports and records in a format and style consistent with their intended use and workplace guidelines

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Communicate results within the specified time and in accordance with workplace confidentiality and security guidelines

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

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 workplace 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 workplace 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 and records in a format and style consistent with their intended use and workplace guidelines

5.4

Communicate results within the specified time and in accordance with workplace confidentiality and security guidelines

Required Skills and Knowledge

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

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 workplace 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 workplace 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 and records in a format and style consistent with their intended use and workplace guidelines

5.4

Communicate results within the specified time and in accordance with workplace confidentiality and security guidelines

Evidence of competence in this unit must satisfy all of the requirements of the elements and performance criteria, and include demonstration of:

performing laboratory computations involving:

evaluation of formulae containing algebraic, logarithmic, exponential and power functions

calculation of uncertainties

calculating scientific quantities, including at least five (5) of the following:

percentage and absolute uncertainties in measurements and test results

pH, [H+], [OH-], buffer calculations, Ka, pKa, Kb, pKb and Kw

solubility constants Ks and pKs

radioactivity (half life, dose, activity and exposure)

optical properties (absorbance/transmittance, path length, extinction coefficient, concentration (Beers law) and detection limits)

electrical properties (conductivity, resistivity and dielectric constants)

mechanical properties (stress, strain, elastic moduli, yield strength and hardness)

thermal properties (heat capacity, thermal expansion, thermal conductivity and thermal resistance)

food content (%) of water, ash, dietary and crude fibre, carbohydrate, protein, fat and specific vitamin

quantities associated with quality control monitoring, assessment and reporting

using and interpreting statistical analysis and significance tests including at least five (5) of the following:

mean, median, mode, range, variance and standard deviation

measures of central tendency and dispersion

histograms, frequency plots, stem and leaf plots, boxplots and scatter plots

probability and normal probability plots

Pareto diagrams, Stewhart control charts and CuSum control charts

regression methods for calibration, linearity checks and comparing analytical methods

data acceptability tests, such as Q, T and Youden

t-test, f-test, analysis of variance (ANOVA)

using and interpreting graphical analysis including at least three (3) of the following:

preparation and interpretation of linear, semi-log and log-log graphs

determination of linear, logarithmic, exponential and power relationships

regression lines and interpretation of correlation coefficients

preparation of frequency distributions for given data

preparation of complex control charts

analysing trends and uncertainty in data

analysing data to determine relationships between variables

reporting accurate results in the required formats and expected timeframe

storing, retrieving and manipulating data following document traceability procedures

maintaining the security and confidentiality of data in accordance with workplace and regulatory requirements

Must provide evidence that demonstrates knowledge of:

scientific and technical terminology, such as variables, dispersion, central tendency, process control, process stability, normal distribution, confidence level and replication

the characteristics of a valid measurement

relevance/importance of the national measurement legislation and guidelines to laboratory measurement

sources and estimates of uncertainty in measurements

procedures for data traceability

procedures for verifying data and rectifying mistakes

procedures for maintaining and filing records, and maintaining security of data

work health and safety (WHS) and environment requirements.

Range Statement

This field allows for different work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included.

Standards, codes, procedures and/or workplace requirements

Standards, codes, procedures and/or enterprise requirements include the latest version of one or more of:

Australian and international standards, guides and the National Association of Testing Authorities (NATA) Technical Notes that cover the application of international system of units (SI), accuracy of measurement methods and results, and quantifying uncertainty in measurement

national measurement regulations and guidelines

validated sampling and test procedures and spreadsheets developed in-house for assay and process calculations where applicable

workplace procedures, manuals and/or plans covering quality assurance, customer service, material safety data sheets (MSDS), equipment, supplier catalogues and handbooks

Data

Data includes:

worksheets, spreadsheets or databases linked to information management systems

the results of tests, measurements, analyses or surveys

Records

Records include information associated with one or more of:

purchase of equipment and materials

service records

safety procedures

history of calibration and test results

Work health and safety (WHS) and environmental management requirements

WHS and environmental management requirements include:

· complying with WHS and environmental management requirements at all times, which may be imposed through state/territory or federal legislation. These requirements must not be compromised at any time

· applying standard precautions relating to the potentially hazardous nature of samples

accessing and applying current industry understanding of infection control issued by the National Health and Medical Research Council (NHMRC) and State and Territory Departments of Health, where relevant