
Understanding Data Bias and Visualisation
Authored by Clinton Lough
Information Technology (IT)
12th Grade
Used 1+ times

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5 questions
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1.
OPEN ENDED QUESTION
3 mins • 2 pts
Describe sampling bias in a survey with an example (2 marks)
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2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of using random sampling in data collection?
To ensure that every individual in the population has an equal chance of being selected for the sample
To focus on individuals who are most likely to respond to the survey
To collect data from individuals who are available at a specific location
To select participants that will offer the most robust responses to a survey
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of visualisation misrepresentation?
Using a bar graph with the vertical axis starting at zero and equal intervals
Using a bar graph with the vertical axis starting at a value greater than zero
Using a pie chart where each slice represents the proportion of each category
Using a line graph with evenly spaced intervals on both axes
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is response bias in the context of survey data collection?
When participants answer questions in a way that reflects their true opinions and experiences
When participants provide answers they believe are more socially acceptable or expected, rather than their true opinions
When participants leave responses blank resulting in gaps in the data set
When participants are not given enough time to complete the survey
5.
OPEN ENDED QUESTION
5 mins • 3 pts
Andy is collecting data about job satisfcation and generating a data story about peoples impressions of work and overall satisfcation. He emails a range of large companies asking them to distribute the survey amongst their office workers.
Suggest whether bias is inherent in the data collection and visualisation and suggest any ways it might be mitigated if appropriate.
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