List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.
The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including evidence of the ability to:
plan and conduct a significance test on extracted and normalised data and conclude finding on at least two occasions.
In the course of the above, the candidate must:
identify and conduct data normalising methodologies
develop a hypothesis used for significance testing.
The candidate must be able to demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including knowledge of:
data extraction methodologies
data normalising methodologies used in data analysis and data reporting
methodologies of securing and preparing data for data extraction
industry standard data analysis methodologies
technical requirements used in extracting different types of data
hypothesis development for significance testing
report writing for reporting significance testing in data analytics.
Assessment must be conducted in a safe environment where evidence gathered demonstrates consistent performance of typical activities experienced in the customer service field of work and include access to:
hardware and software and components required for data analysis tasks
organisational data reporting style guide and reporting processes required for data reporting
a site where activities can be carried out.
data required for testing.
Assessors of this unit must satisfy the requirements for assessors in applicable vocational education and training legislation, frameworks and/or standards.