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Instructor Solution Manual Chapter 10 for Principles of Data Science

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DataScience_ISM_Ch10 – Instructor Solution Manual Chapter 10 for Principles of Data Science Access complete instructor solutions for Chapter 10 of OpenStax’s Principles of Data Science. This Instructor Solution Manual (ISM) provides step-by-step solutions, sample answers, and detailed explanations for exercises on data ethics, privacy, security, and governance. Perfect for instructors preparing lectures, assignments, and grading guides. Official ISM access requires verified instructor credentials via OpenStax.DataScience_ISM_Ch10 – Instructor Solution Manual Chapter 10 Overview DataScience_ISM_Ch10 refers to the Instructor Solution Manual (ISM) for Chapter 10 of OpenStax’s Principles of Data Science. Chapter 10 typically covers data ethics, privacy, security, and governance in data science projects. The ISM is designed to help instructors: Provide step-by-step solutions for all exercises Offer sample answers and explanations for applied and critical thinking questions Guide lecture preparation, grading, and class discussion Note: Official ISM access is restricted to verified instructors via OpenStax. Students can use the Student Solution Manual (SSM) for odd-numbered problems.

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Institution
Data Science
Course
Data Science

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, Principles of Data Science



Chapter 10
Reporting Results

Chapter Review
[10.1, LO 10.1.1]
1. In a technical data science report, what type of communication is most suitable for
executives?
a. Highly technical and detailed
b. Focused on practical application
c. Concise with a focus on summaries and outcomes
d. Broad and nontechnical for general understanding
Solution: c. Concise with a focus on summaries and outcomes
Executives require communication that is less technical, focused on business implications, and
concise.

[10.1, LO 10.1.1]
2. What should a technical report for nonspecialists avoid?
a. Complex statistical data
b. Technical jargon
c. Visual aids like graphs and charts
d. Descriptions of practical applications
Solution: b. Technical jargon
For nonspecialists, reports should avoid technical jargon or explain it thoroughly, focusing on
clarity.

[10.1, LO 10.1.2]
3. Which is a key consideration when writing technical data science reports?
a. Using complex language to demonstrate expertise
b. Connecting with diverse audiences through tailored communication
c. Focusing only on the most advanced techniques
d. Avoiding visual aids to prevent confusion
Solution: b. Connecting with diverse audiences through tailored communication
The primary consideration is to connect with diverse audiences by tailoring communication to
their specific needs.

[10.1, LO 10.1.1]
4. For technicians, a data science report should primarily focus on:
a. Theoretical knowledge
b. Practical application and procedures
c. Advanced research and new findings
d. Business implications and strategies
Solution: b. Practical application and procedures


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

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