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Data Science – Student Solutions Manual (SSM) – Chapter 8 – Complete Worked Solutions & Study Resource

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This document is Chapter 8 of the Data Science Student Solutions Manual (SSM), providing fully worked solutions and answers to textbook exercises. It focuses on applying statistical and computational methods commonly used in data science coursework. The resource helps students understand step-by-step problem-solving approaches and strengthen analytical and statistical reasoning skills.

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Institution
Principles Of Data Science
Course
Principles of Data Science

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, Principles of Data Science



Chapter 8
Ethics Throughout the Data Science Cycle



Chapter Review
[8.1, LO 8.1.2]
1. Which option best explains the significance of informed consent during the data collection
phase?
a. To ensure individuals are aware of the potential risks and benefits of the research
b. To bypass legal regulations and guidelines
c. To collect data without the knowledge of individuals
d. To speed up the data collection process

Solution: a. This is important because it allows individuals to make an informed decision about
whether or not they want to participate in the study. Informed consent also ensures ethical
principles such as respect for autonomy and beneficence are upheld.

[8.1, LO 8.1.1]
3. Which of the following is an important ethical principle to consider during the data collection
phase?
a. Maximizing collected data
b. Minimizing informed consent
c. Ensuring secure storage and access protocols
d. Avoiding compliance with regulations and guidelines

Solution: c. Ensuring secure storage and access protocols is an important ethical principle
during the data collection phase because it protects the privacy and confidentiality of
participants. This includes having proper protocols in place to securely store data and limit
access to only those who are authorized.

[8.1, LO 8.1.3]
5. How can organizations mitigate the risk of data breaches during the development process?
a. Have strong data security policies and protocols in place
b. Respond to data breaches in a timely manner
c. Only use publicly available data
d. Share data with third parties without permission

Solution: a. This is because having strict protocols for handling sensitive data can help prevent
data breaches during the development process and ensure that all data is protected. This
includes implementing measures such as encryption, regular data backups, access controls, and
employee training on data security.



11/1/24 For more free, peer-reviewed, openly licensed resources visit OpenStax.org. 2

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Institution
Principles of Data Science
Course
Principles of Data Science

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Uploaded on
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Type
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