MNO2605 Assignment
2 (COMPLETE
ANSWERS) Semester
1 2026 - DUE 10 April
2026
[Pick the date]
, Exam (elaborations)
MNO2605 Assignment 2 (COMPLETE
ANSWERS) Semester 1 2026 - DUE 10 April
2026 Save 16 minutes reading time
MNO2605 Assignment 2 (COMPLETE ANSWERS) Semester 1 2026 - DUE 10
April 2026; 100% TRUSTED Complete, trusted solutions and explanations.
Question 1.1: Quantitative Data Gathering
Rewritten question:
Which aspect of quantitative data gathering is highlighted by the statement that survey data on
workplace risk assessments often do not cover the entire economy?
Answer:
The statement refers to coverage and representativeness in quantitative data collection,
specifically sampling bias. It highlights that the data collected does not include all sectors (e.g.,
small firms or informal sectors), resulting in incomplete representation of the population. This
limits the accuracy and generalisability of findings about workplace risk assessments.
Question 1.2: Characteristics of a Good Measuring Tool
Rewritten question:
How can the characteristics of a good measurement tool be applied when using quantitative
methods to study workplace risk assessments?
Answer:
A good measurement tool in quantitative research should include:
Validity: The tool must measure actual workplace risks (e.g., hazards, exposure levels).
Reliability: It should produce consistent results across time and different workplaces.
Objectivity: Data collection should be unbiased (e.g., standardised surveys).
Sensitivity: It must detect differences in risk levels and changes over time.
Practicality: The tool should be easy to use, cost-effective, and applicable across
different organisations.
Applying these ensures accurate, consistent, and useful data in workplace risk assessment
studies.
2 (COMPLETE
ANSWERS) Semester
1 2026 - DUE 10 April
2026
[Pick the date]
, Exam (elaborations)
MNO2605 Assignment 2 (COMPLETE
ANSWERS) Semester 1 2026 - DUE 10 April
2026 Save 16 minutes reading time
MNO2605 Assignment 2 (COMPLETE ANSWERS) Semester 1 2026 - DUE 10
April 2026; 100% TRUSTED Complete, trusted solutions and explanations.
Question 1.1: Quantitative Data Gathering
Rewritten question:
Which aspect of quantitative data gathering is highlighted by the statement that survey data on
workplace risk assessments often do not cover the entire economy?
Answer:
The statement refers to coverage and representativeness in quantitative data collection,
specifically sampling bias. It highlights that the data collected does not include all sectors (e.g.,
small firms or informal sectors), resulting in incomplete representation of the population. This
limits the accuracy and generalisability of findings about workplace risk assessments.
Question 1.2: Characteristics of a Good Measuring Tool
Rewritten question:
How can the characteristics of a good measurement tool be applied when using quantitative
methods to study workplace risk assessments?
Answer:
A good measurement tool in quantitative research should include:
Validity: The tool must measure actual workplace risks (e.g., hazards, exposure levels).
Reliability: It should produce consistent results across time and different workplaces.
Objectivity: Data collection should be unbiased (e.g., standardised surveys).
Sensitivity: It must detect differences in risk levels and changes over time.
Practicality: The tool should be easy to use, cost-effective, and applicable across
different organisations.
Applying these ensures accurate, consistent, and useful data in workplace risk assessment
studies.
