Module 4 assessment

Question 1 Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply.

Best practices for fairness in data analysis include identifying surrounding factors. Effective data analysts help create systems that are fair and inclusive to everyone. A data professional may include self-reported data when prioritizing fairness.

An HR firm is filling open positions for administrative assistants, so they purchase online help-wanted ads. Research reveals that 87% of administrative assistants are women, so the data team decides that women are more likely to be successful applicants. Therefore, they target the ads to female job seekers. What should they have done instead?

Conduct more research to understand the surrounding factors of this situation.

A data analyst at a marketing company determines which advertising campaign will be most successful. Rather than only reviewing data about effective past campaigns, the analyst considers target audience demographics, market trends, competitor campaigns, and more. This enables them to achieve more insightful results. Which fairness best practice does this scenario describe?

Considering all available data

Which fairness best practice is intended to help data teams better understand the context surrounding their data analysis conclusions?

Identify surrounding factors

While conducting a survey to learn about employee satisfaction, a data analyst notices that the majority of respondents are people who work in the operations department. The fairness of their survey could be improved by over-sampling which employees?

People who work in departments other than operations

What are some strategies data professionals use to ensure their data analysis is unbiased? Select all that apply.

Prioritize fairness during data collection, Consider the complicated social contexts that could create bias, Ensure anything shared with stakeholders is presented in context

Fill in the blank: A data professional ensures their data analysis is fair by considering fairness from _____ of a project.

beginning to conclusion

Fill in the blank: Data analysts focus much of their time working on _____, which are the questions or problems that analysis can help address for an organization.

business tasks

A data professional notices that their dataset is imbalanced and therefore is not representative of the entire population. They work to get more responses from nondominant groups in order to address this issue and ensure data insights are fair. What does this scenario describe?

oversampling

Fill in the blank: Fairness means ensuring that bias is neither created nor _____ by the data analysis process.

reinforced

Question 6 A data team at a car dealership considers fairness when collecting data. Instead of having salespeople share observations, they create a survey that asks customers to provide information about their own car-buying experiences. This helps avoid any unconscious bias that might be introduced by the salespeople. Which fairness best practice does this scenario describe?

self- reporting

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

the question answered, or problem solved, by data analysis