Unit 9.2 Data Science

What is data science primarily concerned with?

• Using data to learn and make decisions
• Creating infographics for fun
• Storing data without analysis
• Collecting data without a purpose

Which of the following best describes data visualisation?

• Using pictures and charts to represent data
• Writing lengthy reports on data
• Collecting data from surveys
• Ignoring data altogether

What is an infographic?

• A visual representation combining text and images
• A type of data storage system
• A method of writing code
• A way to collect data through interviews

What does correlation indicate?

• The relationship between two variables
• The average of a data set
• The total number of data points
• The difference between two values

What is an outlier in data?

• A data point that is always correct
• The most common data point in a set
• The average of all data points
• A data point that differs significantly from others

What does the investigative cycle help us do?

• Gather information and draw conclusions
• Create infographics without data
• Ignore data patterns
• Store data for future use

What does it mean if two variables have a strong correlation?

• One variable significantly affects the other
• They have no relationship at all
• They are identical in every way
• They are both outliers in the data set

Which of the following is NOT a component of data visualisation?

• Using text to explain data
• Collecting data from the internet
• Creating graphs and charts
• Using colours to highlight information

Which of the following can be used to identify outliers?

• Collecting more data points
• Only considering average values
• Ignoring data that seems unusual
• Visualisation techniques like line graphs

What is the first step in the investigative cycle?

• Analysing data
• Drawing conclusions
• Creating visualisations
• Gathering information