VCE Data Analysis Word Scramble: Types and purposes of data (Modules 3–14)
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Word scramble
Unscramble the letters and write each key term on the line.
1
TAATIEIVQTNU AATD
Numerical data that can be counted (discrete, like number of students) or measured (continuous, like temperature) and used in calculations, such as ages, scores and temperatures.
2
TAVQUAETILI ATAD
Descriptive data such as opinions, comments and experiences, often from open-ended responses or interviews. It is not measured as numbers, and is sorted into categories and descriptions.
3
WRETVIENI
A data collection method where you ask a person open questions about an issue and record their views, giving qualitative data. It is rich in detail but a small sample may not represent everyone.
4
NSORES ATAD
Measurements, such as heart rate or steps, that a device like a wearable records automatically at regular intervals. It is quantitative data and can reveal a person's health trends.
5
UNSSEC
A data collection that gathers information from every person or household in a population, not just a sample. The ABS runs the Australian ______ every five years.
6
POHGIDCRMAE TDAA
Data describing characteristics of a population, such as age, location, income and education, so that different groups can be compared and analysed statistically.
7
SRIT-SEEEMI TADA
Data recorded repeatedly over time, each value with a timestamp, usually at regular intervals, so you can see how values change and spot trends and seasonal patterns.
8
TG-ERINEEDAA ADTA
New data, such as text, images or predictions, created by an AI system. Its quality depends on the data the AI was trained on, so students must verify it before use.
Answer Key
VCE Data Analysis · Modules 3–14
1TAATIEIVQTNU AATD → Quantitative data — Numerical data that can be counted (discrete, like number of students) or measured (continuous, like temperature) and used in calculations, such as ages, scores and temperatures.
2TAVQUAETILI ATAD → Qualitative data — Descriptive data such as opinions, comments and experiences, often from open-ended responses or interviews. It is not measured as numbers, and is sorted into categories and descriptions.
3WRETVIENI → interview — A data collection method where you ask a person open questions about an issue and record their views, giving qualitative data. It is rich in detail but a small sample may not represent everyone.
4NSORES ATAD → sensor data — Measurements, such as heart rate or steps, that a device like a wearable records automatically at regular intervals. It is quantitative data and can reveal a person's health trends.
5UNSSEC → census — A data collection that gathers information from every person or household in a population, not just a sample. The ABS runs the Australian census every five years.
6POHGIDCRMAE TDAA → demographic data — Data describing characteristics of a population, such as age, location, income and education, so that different groups can be compared and analysed statistically.
7SRIT-SEEEMI TADA → time-series data — Data recorded repeatedly over time, each value with a timestamp, usually at regular intervals, so you can see how values change and spot trends and seasonal patterns.
8TG-ERINEEDAA ADTA → AI-generated data — New data, such as text, images or predictions, created by an AI system. Its quality depends on the data the AI was trained on, so students must verify it before use.