Describe two (2) techniques for synthesizing data

Assessment

Task 1

Analyse data

BSBDAT501

Artificial Intelligence, Brain, Think, Control

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Table of Content Student Declaration 2 Task 1 – Knowledge Questionnaire 5 Question 1 6 Question 2 7 Question 3 7 Question 4 8 Question 5 8

Task 1 – Knowledge Questionnaire

Task summary and instructions

What is this assessment task about? This assessment is a written questionnaire with a mix of objective and subjective questions.

The questionnaire is designed to meet the knowledge required to meet the unit requirements safely and effectively.

The questions focus on the knowledge evidence required for this unit of competency:

· key details of datasets and techniques for synthesising data

· organisational policies and procedures relating to:

· accessing information

· recording and reporting outcomes of analysis

· requirement for data analysis

· key features of industry standards and techniques relating to data analysis

· potential data sources and factors that impact on reliability of data, including timeliness, authority, audience, relevance and potential for bias

· importance and value of data analysis

· methods of data analysis

· statistical analysis

· key legislative requirements relating to data analysis

· methods of reporting analysis.

Your assessor will be looking for demonstrated evidence of your ability to answer the questions satisfactorily, follow instructions, conduct online research and review real or simulated business documentation as instructed.

What do I need to do to complete this task satisfactorily? · submit your answers to the questions within the set timeframe,
· answer all questions as instructed,

· answer all questions using your own words and reference any sources appropriately,

· all questions must be answered satisfactorily.

It is advisable to:

· review the questions carefully,

· answer the questions using online research and the learning material provided for the unit and by reviewing real or simulated relevant business documentation (such as policies and procedures),

· further research the topics addressed in each question.

Specifications You must submit to GOALS the

· assessment coversheet,

· answers to all questions,

· references.

Resources and equipment · computer with Internet access,
· access to Microsoft Office suites or similar software,

· learning material.

Re-submission opportunities You will be provided feedback on your performance by the Assessor. The feedback will indicate if you have satisfactorily addressed the requirements of each part of this task. If any parts of the task are not satisfactorily completed, the assessor will explain why, and provide you with written feedback along with guidance on what you must undertake to demonstrate satisfactory performance. Re-assessment attempt(s) will be arranged at a later time and date. You have the right to appeal the outcome of assessment decisions if you feel that you have been dealt with unfairly or have other appropriate grounds for an appeal. You are encouraged to consult with the assessor prior to attempting this task if you do not understand any part of this task or if you have any learning issues or needs that may hinder you when attempting any part of the task.

Answer all the questions below:

Question 1

Answer the following questions.

Question Answer
Define data.
What is a data set? What are the key details of datasets? Mention two examples as part of your answer.
(50-100 words)

What is a database?
List three (3) examples of databases as part of your answer.

(50-100 words)

Describe two (2) techniques for synthesising data (one for qualitative and one for quantitative data).
(50-100 words)

Question 2

Think about policies and procedures relating to:

· Accessing information

· Recording and reporting outcomes of the analysis

· Requirement for data analysis

What should the policies and procedures include?

Accessing information
Recording and reporting outcomes of the analysis
Requirement for data analysis

Question 3

Answer the following questions.

Question Answer
Outline three (3) key features of industry standards and techniques relating to data analysis.
(30/50 words/feature)

List five (5) potential data sources.
What is statistical analysis? Provide two examples of statistical analysis methods in your answer.
(50-100 words)

What are the key legislative requirements relating to data analysis? List 4-5 in your answer.
Outline three (3) methods for reporting analysis.
(80-120 words)

Question 4

Describe the following factors that impact the reliability of data.

Factor Description
(30-50 words/factor)

Timeliness
Authority
Audience
Relevance
Potential bias

Question 5

Outline three (3) methods for data analysis.

Method Outline
(40-80 words/method)

Question 6

Research 3 different analytics tools/software. Describe each tool’s features and benefits

Analytics tools/software Features/benefits

(40-80 words/method)

BSBDAT501 – Analyse data V3 2021 Page 5
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