Understanding Data Bias and Visualisation

Describe sampling bias in a survey with an example (2 marks)

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

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

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

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.