VCE Data Analytics U3O1 Word Scramble: Statistical analysis of data to Designing data visualisations (Modules 94–128)
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Word scramble
Unscramble the letters and write each key term on the line.
1
IBTIINUSTORD PHAES
How data values are spread out, seen on a histogram: symmetrical (bell-shaped or uniform) or bimodal, which has two peaks. Skew is covered separately.
2
ESKW
Lopsidedness of a distribution: positive ______ has a long tail to the high side, negative ______ to the low side. The mean is pulled towards the tail, away from the median.
3
ISLVAU RIEHRHYCA
Using size, position, colour and weight to show which element viewers should read first, so the key message stands out and the reading order is clear.
4
ITACRLY FO GSEMAES
A visualisation has ______ when a viewer can state its one key point quickly, because clutter is removed and a descriptive title tells them what to look for.
5
TYFIJSU A SDINGE ECOCIH
Give a reason for a design choice (chart, colour, format) that links it to the purpose of the solution, the needs of the audience and the type of data. Use 'because' to link them.
Answer Key
VCE Data Analytics U3O1 · Modules 94–128
1IBTIINUSTORD PHAES → distribution shape — How data values are spread out, seen on a histogram: symmetrical (bell-shaped or uniform) or bimodal, which has two peaks. Skew is covered separately.
2ESKW → skew — Lopsidedness of a distribution: positive skew has a long tail to the high side, negative skew to the low side. The mean is pulled towards the tail, away from the median.
3ISLVAU RIEHRHYCA → visual hierarchy — Using size, position, colour and weight to show which element viewers should read first, so the key message stands out and the reading order is clear.
4ITACRLY FO GSEMAES → clarity of message — A visualisation has clarity of message when a viewer can state its one key point quickly, because clutter is removed and a descriptive title tells them what to look for.
5TYFIJSU A SDINGE ECOCIH → Justify a design choice — Give a reason for a design choice (chart, colour, format) that links it to the purpose of the solution, the needs of the audience and the type of data. Use 'because' to link them.