Coursera Google Data Analytics Professional Prepare Data for Exploration (Week 2) Quiz Answer- Bias, credibility, privacy, ethics, and access.

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1. Coursera: Machine Learning.
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2.Bias, credibility, privacy, ethics, and access

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 interoperability
• data collection
• data anonymization
• data bias

Data bias is a type of error that systematically skews results in a certain direction.

 

Question 2

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
• Confirmation bias
• Sampling bias
• Observer bias

This is an example of sampling bias, which is when a sample isn’t representative of the population as a whole.

 

Question 3

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

• Biased
• Vetted
• Inaccurate
• Incomplete

Unreliable data is inaccurate, incomplete, and biased.

 

Question 4

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

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

In data ethics, consent gives individuals the right to know why their data is being collected, how it will be used, and how long it will be stored.

 

Question 5

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?

• Transaction transparency
• Ownership
• Consent
• Currency

This refers to transaction transparency, which is the idea that 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.

 

Question 6

What is data privacy?

• Providing free access, usage, and sharing of data
• Applying well-founded standards of right and wrong that dictate how data is collected, shared, and used
• Searching for or interpreting supporting information
• Preserving a data subject’s information and activity for all data transactions

Data privacy refers to preserving a data subject’s information and activity for all data transactions.

 

Question 7

Data anonymization applies to both text and images.

• True
• False

Data anonymization applies to all personally identifiable information, including text and images.

 

Question 8

The government of a large city collects data on the quality of the city’s infrastructure. Any business, nonprofit organization, or citizen can access the government’s databases and re-use or redistribute the data. Is this an example of open data?

• Yes
• No

This is an example of open data. Everyone must be able to use, re-use, and redistribute open data.

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