Y12 EC Data Science Wk4 L3 Review

Multiple Select

What are the differences between short-term and long-term data in terms of their influence on social behaviour?

• Short-term data reflects immediate reactions

• Long-term data indicates stable trends

• Short-term data is more reliable

• Long-term data is less informative

Multiple Choice

What are signals that can influence social behaviour?

• Trending topics on social media

• Personal opinions

• Private conversations

• Historical events

Multiple Choice

What practices can help avoid data swamps?

• Implementing good data governance

• Ignoring data quality

• Storing data without documentation

• Using outdated data management practices

Multiple Choice

What is a data swamp?

• A well-organized data repository

• A disorganized data repository

• A type of data analysis

• A data storage technique

Multiple Choice

What are the key components of educating users about data?

• Critically evaluating data sources

• Understanding the context of data

• Communicating findings effectively

• All of the above

Multiple Choice

How can analysing data over both short-term and long-term periods provide a more comprehensive understanding of social behaviour trends?

• It helps in identifying only short-term trends.

• It eliminates the need for long-term analysis.

• It provides insights into both immediate and persistent trends.

• It focuses solely on historical data.

Multiple Choice

What are trend lines used for?

• To display time series data

• To compare different categories

• To highlight the overall trend in the data

• To show distribution patterns

Multiple Choice

____________ is an unusual activity in a group of otherwise normal activities.

• Anomaly

• Iteration

• Parameter

• Precision

Open Ended

What types of signals (for example social media trends, news reports) most significantly influence social behaviour, and why?

Multiple Select

What are the key practices for maintaining clean, well-documented data to avoid creating a data swamp, and why are they important?

• Clear schemas & data dictionaries

• Data lineage & ETL/ELT logs

• Quality checks

• Access controls & retention schedules

Multiple Select

Why is it important to teach ethical considerations, such as privacy and data protection, when educating users about data literacy and communication?

• Protects people

• Builds trust

• Ensures compliance

• Improves analysis quality

Poll

How confident do you feel about this topic now?

• Very confident
• Somewhat confident
• Not confident