Module 2: Data Responsibility Answers (Part 2: Q16–30)
This is Part 2 of the Module 2 quiz answers for “Data Responsibility” from the Google Data Analytics Professional Certificate on Coursera.
Here, we’ll walk through questions 16 to 30 with detailed explanations to support your learning.
To find answers to the remaining questions, check out the full module breakdown below:
16. Fill in the blank: Data _____ refers to well-founded standards of right and wrong that dictate how data is collected, shared, and used.
- ethics ✅
- privacy
- credibility
- anonymization
Explanation:
Data ethics guide how to handle data responsibly, including fairness, consent, and transparency.
17. Ownership is a key issue in data ethics. Who owns data?
- The organization that invests time and money collecting, processing, and analyzing the data
- The government that passes data-protection legislation
- The individual who originally generates the data ✅
- The law enforcement agencies that enforce data protection laws
Explanation:
You own your own data, even if others collect or process it.
18. An employer accesses an employee’s credit report without their consent. This is not a violation of the employee’s privacy because they work at the company.
- True
- False ✅
Explanation:
Accessing personal data without consent violates privacy rights, regardless of employer-employee relationships.
19. What is the process of protecting people’s private or sensitive data by eliminating identifying information?
- Data governance
- Data design
- Data ethics
- Data anonymization ✅
Explanation:
It’s about protecting privacy by removing personal identifiers.
20. A key aspect of open data is free access to people’s personal information.
- True
- False ✅
Explanation:
Open data promotes access to non-personal info — personal data must still be protected.
21. A clinic surveys a group of male and female patients about their experience with physical therapy. The survey does not include people with disabilities. Is the survey data biased?
- Yes ✅
- No
Explanation:
If a group (like people with disabilities) is excluded, the data is not representative.
22. A university surveys its student-athletes about their experience in college sports. The survey only includes student-athletes with scholarships. What type of bias is this an example of?
- Interpretation bias
- Observer bias
- Confirmation bias
- Sampling bias ✅
Explanation:
Only including one group in a survey about all athletes is sampling bias.
23. An individual who provides their data has the right to know and understand all of the data-processing activities and algorithms used on that data. This is called ownership.
- True
- False ✅
Explanation:
Understanding data-processing activities is referred to as transaction transparency, not ownership.
24. The right to inspect, update, or correct your own data is part of which aspect of data ethics?
- Data openness
- Data ownership
- Data consent
- Data privacy ✅
Explanation:
Privacy laws protect your right to control and correct your own data.
25. Interoperability is key to open data’s success. Which of the following is an example of interoperability?
- A website charges a fee to access a database
- An analyst removes all personally identifiable information from a database
- Different databases use common formats and terminology ✅
- A company restricts the use of a database to its own employees
Explanation:
Interoperability means systems can work together and share data seamlessly.
26. Which of the following situations are examples of bias? Select all that apply.
- A researcher who surveys a sample group that is representative of the population
- A scholar who only reads sources that support their argument ✅
- A dancing competition judge who is a close friend of the dancer who wins the competition ✅
- A daycare that won’t hire men for childcare positions ✅
Explanation:
Each of these shows personal or structural bias influencing decisions or outcomes.
27. Which of the following “C’s” describe qualities of good data? Select all that apply.
- Comprehensive ✅
- Cited ✅
- Current ✅
- Consequential
Explanation:
Good data should be comprehensive (covers all necessary aspects), cited (traceable to credible sources), and current (up-to-date).
28. If a company uses your personal data as part of a financial transaction, you should be made aware of the nature and scale of the transaction. What concept of data ethics does this refer to?
- Privacy
- Currency ✅
- Ownership
- Consent
Explanation:
Currency in data ethics refers to being aware of data use during data-related transactions.
29. Data anonymization applies to both text and images.
- True ✅
- False
Explanation:
Data anonymization applies universally to all identifiable information, including text and images.
30. The government of a large city collects data on the quality of the city’s infrastructure. Any business, nonprofit organization, or person can access the government’s databases and re-use or redistribute the data. Is this an example of open data?
- Yes ✅
- No
Explanation:
Open data allows unrestricted use, reuse, and redistribution by anyone, fostering transparency and innovation.
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