COMP1 - Exam-Final

COMP1 - Exam-Final

University

•

40 Qs

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COMP1 - Exam-Final

COMP1 - Exam-Final

Assessment

Quiz

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Computers

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University

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Practice Problem

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Created by

Andy Durante

Used 3+ times

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40 questions

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1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the primary purpose of data in criminology?

To entertain the public

To gather information for studying crime

To create fictional narratives on law enforcement agencies

To promote law enforcement agencies

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following best describes qualitative data in criminology?

Numeric information such as crime rates

Non-numeric details like interview transcripts

Statistical analysis of crime trends

Data collected from surveillance cameras

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

How can algorithmic bias in predictive policing impact communities?

It can enhance community trust in law enforcement on communities.

It can lead to disproportionate targeting of minority communities.

It can improve the accuracy of crime predictions.

It has no significant impact on communities.

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What ethical principle emphasizes the need for organizations to be responsible for their data handling?

Fairness

Transparency

Accountability

Privacy

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

In the context of data ethics, what does transparency entail?

Keeping data collection methods secret for the public

Being open about how data is collected and used

Limiting access to data for the public

Using data collected without informing the community

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Evaluate the consequences of improper use of criminal records. Which of the following is NOT a consequence?

Legal challenges

Erosion of civil liberties

Infringement of individual rights

Enhanced public trust

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Analyze the role of data accessibility in promoting accountability in the criminal justice system. Why is it important?

It allows organizations to hide data from the public.

It ensures that stakeholders can monitor data use.

It reduces the need for oversight and auditing.

It complicates the decision-making process.

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