This section describes the essential skills and knowledge and their level required for this unit

Skill requirements

Look for evidence that confirms skills in

numeracy proficiency in statistical data analysis

applying legislation regulations and policies relating to statistical analysis

using at least one statistical analysis package

utilising the most relevant data capture software

using GIS and web mappingweb GIS tools to access andor manipulate a range of data

using a spreadsheet or database package for data analysis

using statistical tools to collect store and analyse data

calculating growth rates and percentage change over time

applying analytical problem solving

communicating statistical concepts

being able to listen to data needs and use appropriate statistics such as mean median mode standard deviation

responding to diversity including gender and disability

applying procedures relating to occupational health and safety and environment in the context of statistical analysis

reading and writing skills to produce relevant documentation

Knowledge requirements

Look for evidence that confirms knowledge and understanding of

legislation regulations policies procedures and guidelines relating to statistical analysis

the limitations of the data and statistics used

the concept of variation

changes occurring over time

relevance of the calculated statistics and the metadata associated with these statistics

the importance of selecting the appropriate statistical analysis

the method of selecting the appropriate statistical analysis

sources of expertise within the organisation

equal employment opportunity equity and diversity principles

public sector legislation such as occupational health and safety and environment in the context of statistical analysis

The Evidence Guide specifies the evidence required to demonstrate achievement in the unit of competency as a whole It must be read in conjunction with the Unit descriptor Performance Criteria the Range Statement and the Assessment Guidelines for the Public Sector Training Package

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

In addition to integrated demonstration of the elements and their related performance criteria look for evidence that confirms consistency of performance in interrogating and analysing statistical data

This will include evidence of

interrogating and analysing at least three actual or simulated statistical data collections on three separate occasions or for three different situationscontexts

adhering to legal ethical and organisational requirements relating to statistical data interrogation and analysis

Context of and specific resources for assessment

Assessment must ensure access to a real or simulated workplace environment that closely resembles normal work practice and replicates the range of conditions likely to be encountered while conducting investigations including coping with difficulties irregularities and breakdowns in routine

Access is required to resources such as

applicable legislation policies and procedures

case studies and workplace scenarios to capture the range of requirements for situations likely to be encountered

technology and statistical tools

Method of assessment

Assessment methods suitable for valid and reliable assessment of this unit of competency may include but are not limited to a combination of or more of

case studies

demonstration

observation

written or oral questions

scenarios

simulation or role plays

authenticated evidence from the workplace andor training courses

Guidance information for assessment

Assessment methods should reflect workplace demands such as literacy and the needs of particular groups such as

people with disabilities

people from culturally and linguistically diverse backgrounds

Aboriginal and Torres Strait Islander people

women

young people

older people

people in rural and remote locations

Analysis techniques may include:

Software may include:

Legislation, policy and guidelines may include:

Sources of error may include:

Summary statistics may include: