Week 2 – Bias, credibility, privacy, ethics, and access

database where data lives coursera week 2 quiz answers

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

Shuffle Q/A 1

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

Devendra Kumar

Project Management Apprentice at Google

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