Question
Question 1
Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply.
Fairness practices should begin during the analyze phase of the data analysis process.
Effective data analysts help create systems that are fair and inclusive to everyone.
Best practices for fairness in data analysis include identifying surrounding factors.
A data professional may include self-reported data when prioritizing fairness.
1 point
2.
Question 2
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.
Only target the ads for the administrative assistant jobs to men.
Find an additional data source that supports the strategy to target women.
Ask the executive team to decide which type of applicants to target with the ads.
1 point
3.
Question 3
Which fairness best practice is intended to help stakeholders better understand the conditions that might influence the final conclusions of data analysis?
Identify surrounding factors
Include self-reported data
Consider relevant data
Use oversampling
1 point
4.
Question 4
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 have worked for the company less than five years
People in operations who have not yet responded to the survey
People who work in departments other than operations
People who have worked for the company more than five years
1 point
5.
Question 5
Fill in the blank: An executive might ask data team members to work on a _____ in order to address a particular question or problem using data analysis.
relevant process
business task
measurable outcome
stated objective
1 point
6.
Question 6
A data analyst at a public library considers fairness when collecting data. Rather than asking librarians to share observations, they create a survey that asks library users to provide information about their own experiences. This helps avoid any unconscious bias that might be introduced by the librarians. Which fairness best practice does this scenario describe?
Oversampling
Considering context
Self-reporting
Using all available data
1 point
7.
Question 7
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?
Including self-reported data
Oversampling
Considering all available data
Guiding business strategy
1 point
8.
Question 8
Fill in the blank: A data professional considers fairness from the start of a project to the point when their organization _____ in order to ensure their data analysis is fair.
presents findings to stakeholders
collects data for the project
acts on the data insights
cleans and organizes the data
1 point
Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply.
Fairness practices should begin during the analyze phase of the data analysis process.
Effective data analysts help create systems that are fair and inclusive to everyone.
Best practices for fairness in data analysis include identifying surrounding factors.
A data professional may include self-reported data when prioritizing fairness.
1 point
2.
Question 2
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.
Only target the ads for the administrative assistant jobs to men.
Find an additional data source that supports the strategy to target women.
Ask the executive team to decide which type of applicants to target with the ads.
1 point
3.
Question 3
Which fairness best practice is intended to help stakeholders better understand the conditions that might influence the final conclusions of data analysis?
Identify surrounding factors
Include self-reported data
Consider relevant data
Use oversampling
1 point
4.
Question 4
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 have worked for the company less than five years
People in operations who have not yet responded to the survey
People who work in departments other than operations
People who have worked for the company more than five years
1 point
5.
Question 5
Fill in the blank: An executive might ask data team members to work on a _____ in order to address a particular question or problem using data analysis.
relevant process
business task
measurable outcome
stated objective
1 point
6.
Question 6
A data analyst at a public library considers fairness when collecting data. Rather than asking librarians to share observations, they create a survey that asks library users to provide information about their own experiences. This helps avoid any unconscious bias that might be introduced by the librarians. Which fairness best practice does this scenario describe?
Oversampling
Considering context
Self-reporting
Using all available data
1 point
7.
Question 7
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?
Including self-reported data
Oversampling
Considering all available data
Guiding business strategy
1 point
8.
Question 8
Fill in the blank: A data professional considers fairness from the start of a project to the point when their organization _____ in order to ensure their data analysis is fair.
presents findings to stakeholders
collects data for the project
acts on the data insights
cleans and organizes the data
1 point
Answers
GPT-4o mini
Here are the responses for the questions provided:
**Question 1**
Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply.
- Fairness practices should begin during the analyze phase of the data analysis process.
- Effective data analysts help create systems that are fair and inclusive to everyone.
- Best practices for fairness in data analysis include identifying surrounding factors.
- A data professional may include self-reported data when prioritizing fairness.
**Correct Answers:**
- Fairness practices should begin during the analyze phase of the data analysis process.
- Effective data analysts help create systems that are fair and inclusive to everyone.
- Best practices for fairness in data analysis include identifying surrounding factors.
- A data professional may include self-reported data when prioritizing fairness.
**Question 2**
What should they have done instead?
- Conduct more research to understand the surrounding factors of this situation.
- Only target the ads for the administrative assistant jobs to men.
- Find an additional data source that supports the strategy to target women.
- Ask the executive team to decide which type of applicants to target with the ads.
**Correct Answer:**
- Conduct more research to understand the surrounding factors of this situation.
**Question 3**
Which fairness best practice is intended to help stakeholders better understand the conditions that might influence the final conclusions of data analysis?
- Identify surrounding factors
- Include self-reported data
- Consider relevant data
- Use oversampling
**Correct Answer:**
- Identify surrounding factors
**Question 4**
The fairness of their survey could be improved by over-sampling which employees?
- People who have worked for the company less than five years
- People in operations who have not yet responded to the survey
- People who work in departments other than operations
- People who have worked for the company more than five years
**Correct Answer:**
- People who work in departments other than operations
**Question 5**
Fill in the blank: An executive might ask data team members to work on a _____ in order to address a particular question or problem using data analysis.
- relevant process
- business task
- measurable outcome
- stated objective
**Correct Answer:**
- stated objective
**Question 6**
Which fairness best practice does this scenario describe?
- Oversampling
- Considering context
- Self-reporting
- Using all available data
**Correct Answer:**
- Self-reporting
**Question 7**
Which fairness best practice does this scenario describe?
- Including self-reported data
- Oversampling
- Considering all available data
- Guiding business strategy
**Correct Answer:**
- Considering all available data
**Question 8**
Fill in the blank: A data professional considers fairness from the start of a project to the point when their organization _____ in order to ensure their data analysis is fair.
- presents findings to stakeholders
- collects data for the project
- acts on the data insights
- cleans and organizes the data
**Correct Answer:**
- acts on the data insights
Please verify the answers based on your specific course material or context, as interpretations may vary slightly.
**Question 1**
Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply.
- Fairness practices should begin during the analyze phase of the data analysis process.
- Effective data analysts help create systems that are fair and inclusive to everyone.
- Best practices for fairness in data analysis include identifying surrounding factors.
- A data professional may include self-reported data when prioritizing fairness.
**Correct Answers:**
- Fairness practices should begin during the analyze phase of the data analysis process.
- Effective data analysts help create systems that are fair and inclusive to everyone.
- Best practices for fairness in data analysis include identifying surrounding factors.
- A data professional may include self-reported data when prioritizing fairness.
**Question 2**
What should they have done instead?
- Conduct more research to understand the surrounding factors of this situation.
- Only target the ads for the administrative assistant jobs to men.
- Find an additional data source that supports the strategy to target women.
- Ask the executive team to decide which type of applicants to target with the ads.
**Correct Answer:**
- Conduct more research to understand the surrounding factors of this situation.
**Question 3**
Which fairness best practice is intended to help stakeholders better understand the conditions that might influence the final conclusions of data analysis?
- Identify surrounding factors
- Include self-reported data
- Consider relevant data
- Use oversampling
**Correct Answer:**
- Identify surrounding factors
**Question 4**
The fairness of their survey could be improved by over-sampling which employees?
- People who have worked for the company less than five years
- People in operations who have not yet responded to the survey
- People who work in departments other than operations
- People who have worked for the company more than five years
**Correct Answer:**
- People who work in departments other than operations
**Question 5**
Fill in the blank: An executive might ask data team members to work on a _____ in order to address a particular question or problem using data analysis.
- relevant process
- business task
- measurable outcome
- stated objective
**Correct Answer:**
- stated objective
**Question 6**
Which fairness best practice does this scenario describe?
- Oversampling
- Considering context
- Self-reporting
- Using all available data
**Correct Answer:**
- Self-reporting
**Question 7**
Which fairness best practice does this scenario describe?
- Including self-reported data
- Oversampling
- Considering all available data
- Guiding business strategy
**Correct Answer:**
- Considering all available data
**Question 8**
Fill in the blank: A data professional considers fairness from the start of a project to the point when their organization _____ in order to ensure their data analysis is fair.
- presents findings to stakeholders
- collects data for the project
- acts on the data insights
- cleans and organizes the data
**Correct Answer:**
- acts on the data insights
Please verify the answers based on your specific course material or context, as interpretations may vary slightly.