Big Data Problems - Crash Course Statistics

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Computers
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9th - 10th Grade
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one of the main challenges associated with big data?
High cost of data collection
Lack of data sources
Ensuring data privacy and security
Limited storage capacity
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the case study, what feature did the algorithm mistakenly use to differentiate between huskies and wolves?
Animal size
Eye shape
Fur color
Presence of snow
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential consequence of algorithmic bias in risk assessment tools like COMPAS?
Disproportionate impact on minority groups
Reduced need for human oversight
Fair treatment of all individuals
Increased accuracy in predictions
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the phrase 'garbage in, garbage out' imply in the context of data algorithms?
Algorithms can function without data
Data quality does not affect algorithm performance
Biased data leads to biased outcomes
High-quality data leads to poor results
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential risk of not having algorithmic transparency?
Simplified algorithm design
Inability to identify biased data
Unbiased decision-making
Increased user trust
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which law addresses privacy concerns related to big data in the European Union?
Children's Online Privacy Protection Act
General Data Protection Regulation
Information Security Act
Data Privacy Act
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is k-anonymity used for in data privacy?
To increase data storage capacity
To encrypt data
To make individuals indistinguishable in a dataset
To ensure data accuracy
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