Y12 EC Data Science Wk1 L2

Multiple Select

What are the four levels of measurement applied to data?

• Nominal

• Ordinal

• Interval

• Ratio

Multiple Choice

What are the two levels of measurement described in the image?

• Nominal and Ordinal

• Qualitative and Quantitative

• Discrete and Continuous

• Interval and Ratio

Multiple Choice

The flower is red.

• Qualitative Data

• Quantitative Data

Open Ended

Description of Nominal and Ordinal levels of measurement applied to data

Multiple Choice

What is the difference between interval data and ratio data?

• Interval data has no meaningful zero point

• Ratio data can only be measured in whole numbers

• Interval data is qualitative

• Ratio data cannot measure distances between data points

Open Ended

Description of Interval and Ratio levels of measurement applied to data

Multiple Choice

Explain the concept of sampling techniques in data collection using a real-world scenario.

• Maya and Mia created a fake dataset to represent the population

• Sampling techniques only apply to qualitative data

• Henry selected a subset of individuals from a larger population to gather data, this is an example of sampling techniques in data collection.

• Sampling techniques are not necessary in data collection

Multiple Choice

Discuss the importance of using appropriate sampling techniques in data collection.

• It ensures that the data collected is representative of the population.

• Using inappropriate sampling techniques leads to better data quality.

• It has no impact on the accuracy of the data collected.

• Sampling techniques are only important for small-scale data collection.

Multiple Choice

What are the two main methods of data collection described in the image?

• Active data collection

• Passive data collection

• Data analysis

• Data interpretation

Multiple Choice

What are the two types of data collection methods mentioned in the image?

• Active data collection

• Passive data collection

• Manual data collection

• Survey data collection

Multiple Choice

List and explain at least 3 data collection methods.

• 3. Random Selection: Choosing data randomly without any specific method.

• 1. Surveys: Gathering information from a sample of individuals through questionnaires or interviews. 2. Observations: Collecting data by watching and recording behaviors or events. 3. Interviews: Directly asking individuals or groups for information.

• 1. Guessing: Making assumptions about the data without any evidence.

• 2. Social Media: Collecting data from various social media platforms without permission.

Multiple Choice

What are the two main categories of data collection methods shown in the table?

• Active and Passive

• Manual and Computer-assisted

• Qualitative and Quantitative

• Primary and Secondary

Multiple Select

What are the advantages of using computerised methods of data collection?

• Efficiency

• Accuracy

• Integration

• Real-time monitoring

Open Ended

Describe the advantages of using computerised methods of data collection

Poll

How confident do you feel about this topic now?

• Very confident
• Somewhat confident
• Not confident