data:image/png;base64,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

E. for each is the if/else is the selection that reports the right sum value

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==sum

D.The procedure being used is "sum_numbers" and the parameter of this procedure is "number_list"

The total value of the numbers in your list is 10G. The output is the report of the total values in the list or 000