VCE Data Analysis Word Scramble: Data types and data characteristics to Privacy and the Australian Privacy Principles (Modules 25–37)
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Date:
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Word scramble
Unscramble the letters and write each key term on the line.
1
BCYAESILICTIS
How easily the people who need data can find it, open it and use it, including having the right file format, the right permissions and support for users with disability.
2
ACITLRY
Information has ______ when it is easy to understand and not ambiguous, thanks to clear headings, labels, units and wording (e.g. 'Height (cm)' not 'Size').
3
ETNCXTO
The background to data, such as who collected it, when, where and why, which gives the data its meaning. Without it, data can be misread.
4
CCAYRUAC
Data is accurate when it is correct and free from errors, so it matches the real-world fact it records. Typos, faulty measurements and out-of-date values make data inaccurate.
5
ESDBIA AADT
Data that unfairly favours one view or group because of how it was collected or selected, e.g. sampling bias, leading questions or missing groups.
6
TERVANEL TDAA
Data that relates directly to the question or purpose it is used for. Unneeded fields or data from the wrong population are not relevant, so they lower the quality of the information.
7
BIEALIYRTIL
Data is reliable when it comes from a trustworthy source and gives consistent results if collected again in the same way. A larger sample size also makes results more reliable.
8
ADAT UTAQYIL ECHCK
Judging a dataset by testing accuracy, bias, integrity, relevance and reliability one at a time, and using evidence to show how any problem could affect conclusions.
9
EINVSITES TOIORNAIMNF
A special kind of personal information, like health, ethnic origin, religion or biometric data, that the Privacy Act protects more strictly because misuse can cause serious harm.
Answer Key
VCE Data Analysis · Modules 25–37
1BCYAESILICTIS → Accessibility — How easily the people who need data can find it, open it and use it, including having the right file format, the right permissions and support for users with disability.
2ACITLRY → Clarity — Information has clarity when it is easy to understand and not ambiguous, thanks to clear headings, labels, units and wording (e.g. 'Height (cm)' not 'Size').
3ETNCXTO → context — The background to data, such as who collected it, when, where and why, which gives the data its meaning. Without it, data can be misread.
4CCAYRUAC → accuracy — Data is accurate when it is correct and free from errors, so it matches the real-world fact it records. Typos, faulty measurements and out-of-date values make data inaccurate.
5ESDBIA AADT → biased data — Data that unfairly favours one view or group because of how it was collected or selected, e.g. sampling bias, leading questions or missing groups.
6TERVANEL TDAA → relevant data — Data that relates directly to the question or purpose it is used for. Unneeded fields or data from the wrong population are not relevant, so they lower the quality of the information.
7BIEALIYRTIL → reliability — Data is reliable when it comes from a trustworthy source and gives consistent results if collected again in the same way. A larger sample size also makes results more reliable.
8ADAT UTAQYIL ECHCK → data quality check — Judging a dataset by testing accuracy, bias, integrity, relevance and reliability one at a time, and using evidence to show how any problem could affect conclusions.
9EINVSITES TOIORNAIMNF → sensitive information — A special kind of personal information, like health, ethnic origin, religion or biometric data, that the Privacy Act protects more strictly because misuse can cause serious harm.