Consider Fairness

Question 1

fairness

Answer 1

ensuring your analysis don’t create or reinforce bias

Question 2

Consider all available data

Answer 2

critical to consider all of the available data so that your analysis reflects the truth and not your own expectations

Question 3

self-reporting

Answer 3

a data collection technique where participants provide information about themselves

Question 4

oversampling

Answer 4

is the process of increasing the sample size of nondominant groups in a population

Question 5

In a data analytics context , what is a business task?

Answer 5

The question answered, or problem solved, by data analysis

Question 6

Fairness means ensuring that bias is neither created nor_____ by the data analysis process

Answer 6

reinforced

Question 7

what are some strategies data professional use to ensure their data analysis is unbiased?

Answer 7

1.Ensure anything shared with the stakeholders is presented in context
2.consider the complicated social context that could create bias
3.Prioritize fairness during data collection

Question 8

which of the following statements accurately describe fairness considerations in data analysis

Answer 8

1. best practices for fairness in data analysis include considering context
2. a data professional may choose to use oversampling when prioritizing fairness
3. Fairness means ensuring that analysis does not create or reinforce bias