• 0.0035
• 0.035
• 0.35
• 3.5
• #### 2.  The first line of this image in RLE would be...

• 8W, 1Bl, 20B, 1W
• 10B, 4Y, 17R, 2G
• 2G, 10P, 17Y, 2Bl
• #### 3.  When is Run Length Encoding used?

• When we want to compress patterns of data
• When we want to decompress patterns of data
• When we want to encode running videos
• #### 4.  Data compression is important for websites because:

• Compressed images look better

• Lossy
• Lossless
• #### 6.  Which best describes Lossless Compression?

• No information is lost but file size is increased
• There is no loss in information at all after compression
• Files which have the exact same data after compression
• Compression that involves an algorithm

• True
• False

• 11
• 10
• 01
• 00

• True
• False
• #### 10.  How do you calculate the number of bits of a body of text in ASCII?

• Number of characters * 7
• Number of characters (including spaces) *7
• bits in Huffman * 7
• bits in Huffman / 7
• #### 11.  Which formula shows how to work out the percentage a file has been compressed by?

• bits in (Huffman *7) /100
• bits in ASCii - bits in Huffman
• difference in bits / bits in ASCII * 100
• None of these
• #### 12.  Huffman trees use the _______________ of each character to work out their encoding.

• Frequency
• Order in ASCII
• Number value
• None of these

• resolution
• zipping
• inputting
• caching

• Lossy
• Lossless
• Both
• All of above
• #### 15.  How do you move through a Huffman tree?

• 0 = right 1= left
• 1 = left 2 = right
• 0 = left 1 = right
• 0 = middle 1 = back
• #### 16.  Lossy or lossless? This type of compression gets rid of some information

• Lossy
• Lossless
• Both
• None of these
• #### 17.  What are the main reasons to compress data?

• To reduce secondary storage space
• To reduce packet congestion on networks
• To speed up network transmission times
• All of above
• #### 18.  Data compression usually works by..

• Finding repeating patterns.
• Deleting random bits data

• Lossy
• Lossless
• Both
• All of above

• MPEG
• MP3
• WAV
• BMP

• True
• False
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