3.2.5.Weekly challenge 2 - quanganh2001/Google-Data-Analytics-Professional-Certificate-Coursera GitHub Wiki
Glossary: Terms and definitions
We’ve covered a lot of terms—some of which you may have already known, and some of which are new. To make it easy to remember what a word means, we created this glossary of terms and definitions.
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Link to glossary: Week 2 Glossary
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Weekly challenge 2
Question 1
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?
A. Yes
B. No
Question 2
A data analyst studies the sales data obtained after each marketing campaign to determine the effectiveness of the campaign. When the findings are ambiguous, the analyst chooses to interpret the results positively. What type of bias does this represent?
A. Observer
B. Sampling
C. Confirmation
D. Interpretation
The correct answer is D. Interpretation
Question 3
Which of the following “C’s” describe qualities of good data? Select all that apply.
- Consequential
- Cited
- Current
- Comprehensive
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?
- How long will my data be stored?
- Why is my data being collected?
- Why am I being forced to share my data?
Question 5
Fill in the blank: In data ethics, the individual who originally generates the data is the person who _____ the data.
A. processes
B. owns
C. transforms
D. deletes
In data ethics, the individual who originally generates the data is the person who owns the data.
Question 6
What is data privacy?
A. Providing free access, usage, and sharing of data
B. Applying standards that preserve the consistency in how data is collected, shared, and used
C. Searching for or interpreting supporting information
D. Preserving a data subject’s information and activity for all data transactions
The correct answer is D. Preserving a data subject’s information and activity for all data transactions
Question 7
Fill in the blank: Blanking, hashing, and masking are all examples of data _____.
A. transparency
B. consent
C. anonymization
D. processing
Blanking, hashing, and masking are all examples of data anonymization
Question 8
Interoperability is key to open data’s success. Which of the following is an example of interoperability?
A. Different databases use common formats and terminology
B. A website charges a fee to access a database
C. A company restricts the use of a database to its own employees
D. An analyst removes all personally identifiable information from a database
The correct answer is A. Different databases use common formats and terminology