Required skills

Ability to

analyse and interpret data

identify sources of data collect data follow analysis procedures and explain results

apply decision making skills

negotiate effectively

collect data and produce reports

use problemsolving initiative and enterprise skills to produce information for business decision making

use research skills to identify and collect data

manage risk

Required knowledge

Knowledge of

relevant legislation codes of practice and standards

use of statistical data for business decision making

methods of presenting data

methods of describing data

risk and uncertainty

interval estimation

hypothesis testing

comparing group differences

simple linear regression and correlation

multiple regression

timeseries analysis

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria required skills and knowledge range statement and the Assessment Guidelines for the Training Package

Overview of assessment

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

Evidence of the following is essential

knowledge of how to

differentiate between different types of data

differentiate between inferential and descriptive statistics

application of linear regression and correlation analysis techniques

knowledge of the strengths and limitations of results produced by each statistical technique error correction and hypothesis testing

provision of advice for business decision making based on the results of statistical analysis

Context of and specific resources for assessment

Assessment must ensure

access to an actual workplace or simulated environment

competence is consistently demonstrated over time and over a range and variety of complex tasksprojects and situations

access to resources normally used in the workplace such as organisational policies and procedures relevant legislation

Method of assessment

A range of assessment methods should be used to assess practical skills and knowledge The following examples are appropriate for this unit

direct questioning combined with review of portfolios of evidence and thirdparty workplace reports of onthejob performance by the candidate

series of workplace activities and projects developed and implemented as part of the organisations business development and management

review of applied projects and learning activities such as reports and case studies

direct observation of contextual application

oral or written questioning to assess knowledge

Guidance information for assessment

Holistic assessment with other units relevant to the industry sector workplace and job role is recommended for example with other units in the qualification in which this unit is packaged

Data sources may include:

Legislation, policies and guidelines may include:

Software may include:

Graphical presentation principles may include:

Analysis techniques may include:

Summary statistics may include:

Accepted standards for data may include:

Statistical tests may include:

Statistical concepts may include:

Presentation of findings may include:

Accepted standards for charts may include: