data:image/png;base64,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

Sum of all items Read each item in the list Add it to "total" After traversal, show total "index" not important, can use "FOR each".Sum of all numbers = 2Average of all of numbers: Read each item in the list Add it to total After traversal, calculate average (total / # of items) "index" not important, so can use "FOR each". Contains negative?: Read each item in the list If item negative Say True stop traversal End if After traversal, Say False "index" not important, so can use "FOR each". Sorted?: Read each item except the last one If next item < item Say False stop traversal End if After traversal, Say True "index" is important, so must use "REPEAT" or "FOR index". Largest: largest = first item - 1 Read each item in the list If item > largest largest = item End if After traversal, Say largest "index" not important, so can use "FOR each". Convert negative to abs: Read each item in the list If item negative Replace with abs of item End if After traversal show modified list "index" is important, so can use "repeat" or "FOR index".

Take even numbers: newlist = empty list Read each item in the list If item even Append item to newlist End if After traversal, show newlist "index" not important, so can use "FOR each". 213,2,11,4,9