Colleagues suggest that you should record your expected results before beginning the analysis and avoid selecting only data and methods that support your assumptions. Why are the two suggestions important?
- They ensure that historical data is not used.
- They help to limit problem outliers.
- They help to avoid bias in the analysis.
- They ensure that datasets are complete and represent the population being analyzed.
Explanation: Some of the ways to avoid bias in data analytics include: recording your assumptions and hypotheses before beginning your analysis and avoiding the selection of only data and methods that support your assumptions.
Related exam: Module 9.3.2 Quiz - Ethics and Bias in Data
