Which statement is true in respect of avoiding bias in data analytics?
- don't allow the data to confirm your conclusions
- avoid selecting only data and methods that support your assumptions
- use a small sample set that supports your hypothesis
- focus on the larger patterns and trends and include outliers in the overall analysis
Explanation: Some ways to avoid bias in data analytics include:
- Be aware that bias exists. Record your assumptions and hypotheses before beginning your analysis. Avoid selecting only data and methods that support your assumptions.
- Validate your data sources and the methodology used to collect the data.
- Focus on the larger patterns and trends, remove outliers from the overall analysis in order to investigate them further.
- Review your methods and data with others in your team. They may be able to spot bias that you may have overlooked.
- Be open-minded and impartial in your analysis. Allow the data to inform your conclusions.
Related exam: Data Analytics Essentials Course Final Exam
