plumiData compression: AQA GCSE Computer Science questions
Every AQA GCSE Computer Science exam question on 3.3.8 Data compression, 2022–2025, with its mark scheme and examiner’s report.
Paper
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Exam
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Calculations
Q09.1
The whole paper ↗Q09.2
The whole paper ↗Q07.4
The whole paper ↗Q17.1
The whole paper ↗Q17.2
The whole paper ↗Q17.3
The whole paper ↗Q01.7
The whole paper ↗Q01.8
The whole paper ↗
All 8 questions on Data compression, as a list
- June 2024, Paper 2, Q09.1 (2 marks): Figure 7 contains a Huffman tree. Figure 7 The Huffman tree in Figure 7 was used to encode a string, which resulted in the following bit pattern: 0001011001 Sta
- June 2024, Paper 2, Q09.2 (3 marks): Table 1 shows the Huffman codes for the characters used in the string HESELLSSEASHELLASHES Table 1 Character Character frequency Huffman code S 6 11 E 5 10 L 4
- June 2023, Paper 2, Q07.4 (2 marks): A black and white image has been compressed using run length encoding (RLE). The first bit in each byte of the bit pattern represents the colour and the remaini
- June 2022, Paper 2, Q17.1 (2 marks): State two reasons why data are compressed. [2 marks] 1 2
- June 2022, Paper 2, Q17.2 (2 marks): Figure 2 shows a string. Figure 2 MISSISSIPPI One method for compressing data is run length encoding (RLE). When using RLE, the data in Figure 2 become: 1M 1I 2
- June 2022, Paper 2, Q17.3 (1 mark): Another method for compressing data is Huffman coding. In Huffman coding, the codes for the characters can be created based on their position in a tree. Figure
- Specimen, Paper 2, Q01.7 (3 marks): Using the Huffman code in Figure 3, complete the table to show the Huffman coding for the characters O, SPACE and B. [3 marks] Character Huffman coding O SPACE
- Specimen, Paper 2, Q01.8 (3 marks): Using Huffman coding, the text ZOE SAW A ZEBRA AT THE ZOO can be stored in 83 bits. Calculate how many additional bits are needed to store the same piece of tex
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