Context: Lossless data compression algorithms usually exploit statistical redundancy to represent data without losing any information, so that the process is reversible. Lossless compression is possible because most real-world data exhibits statistical redundancy. For example, an image may have areas of colour that do not change over several pixels; instead of coding "red pixel, red pixel, ..." the data may be encoded as "279 red pixels". This is a basic example of run-length encoding; there are many schemes to reduce file size by eliminating redundancy.

Question: What usually exploits statistical redundancy?
Answer: Lossless data compression algorithms

Question: What represents statistical redundancy?
Answer: Lossless compression

Question: What may have colors that do not change over several pixels?
Answer: an image

Question: What usually exploits run-length coding?
Answer: Unanswerable

Question: What may have redundancy that does not change over several pixels?
Answer: Unanswerable

Question: What is possible because most real-world data have areas of color?
Answer: Unanswerable

Question: What allows many schemes to reduce lossless compression?
Answer: Unanswerable

Question: What do red pixel algorithms usually exploit?
Answer: Unanswerable