Module 2: Data responsibility

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In this post, I provide accurate answers and detailed explanations for Module 2: Data responsibility of Course 3: Prepare Data for Exploration – Google Data Analytics Professional Certificate.

Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.

1. Fill in the blank: A preference in favor of or against a person, group of people, or thing is called _____. It is an error in data analytics that can systematically skew results in a certain direction.

  • data collection
  • data interoperability
  • data bias
  • data anonymization

 

2. Which type of bias is the tendency to always construe ambiguous situations in a positive or negative way?

  • Observer
  • Confirmation
  • Sampling
  • Interpretation

3. Which of the following are qualities of unreliable data? Select all that apply.

  • Biased
  • Inaccurate
  • Vetted
  • Incomplete

4. 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

5. 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

6. 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

7. What is the process of protecting people’s private or sensitive data by eliminating identifying information?

  • Data governance
  • Data design
  • Data ethics
  • Data anonymization

8. A key aspect of open data is free access to people’s personal information.

  • True
  • False

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. Which of the following “C’s” describe qualities of good data? Select all that apply.

  • Comprehensive
  • Cited
  • Current
  • Consequential

16. 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

17. Data anonymization applies to both text and images.

  • True
  • False

18. 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

19. Which of the following are types of data bias often encountered in data analytics? Select all that apply.

  • Observer bias
  • Interpretation bias
  • Educational bias
  • Confirmation bias

20. In general, the usefulness of data decreases as time passes.

  • True
  • False

21. Ownership is a key issue in data ethics. Who owns data?

  • The law enforcement agencies that enforce data protection laws
  • The organization that invests time and money collecting, processing, and analyzing the data
  • The individual who originally generates the data
  • The government that passes data-protection legislation

22. Which of the following are commonly used methods for anonymizing data? Select all that apply.

  • Masking
  • Hashing
  • Deleting
  • Blanking

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 concept refers to which aspect of data ethics?

  • Currency
  • Consent
  • Ownership
  • Transaction transparency

24. In data ethics, consent gives an individual the right to know the answers to which of the following questions? Select all that apply.

  • How long will my data be stored?
  • Why am I being forced to share my data?
  • How will my data be used?
  • Why is my data being collected?

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