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Limitations of external audits

Forums › Ask ACCA Tutor Forums › Ask the Tutor ACCA AA Exams › Limitations of external audits

  • This topic has 4 replies, 3 voices, and was last updated 10 years ago by Ken Garrett.
Viewing 5 posts - 1 through 5 (of 5 total)
  • Author
    Posts
  • May 29, 2015 at 11:22 am #250159
    kasia
    Participant
    • Topics: 24
    • Replies: 17
    • ☆

    Dear sir

    Could you please explain, with an example if possible what it means
    ‘evidence is persuasive not conclusive’?

    May 29, 2015 at 6:19 pm #250309
    Ken Garrett
    Keymaster
    • Topics: 10
    • Replies: 10594
    • ☆☆☆☆☆

    You will know that almost all auditing relies on sampling. So, although there might be 10,000 purchase transactions, the auditor will probably select only about 30 to check that these have been properly authorised.

    If all have been authorised then the auditor will conclude that the internal control for this is OK. That is persuasive evidence only, not conclusive, because it is possible that the 9970 transactions were not properly authorised. You can only obtain conclusive evidence by examining everything.

    May 29, 2015 at 7:28 pm #250336
    kasia
    Participant
    • Topics: 24
    • Replies: 17
    • ☆

    Makes sense.

    Thank you

    May 30, 2015 at 6:28 am #250415
    samuel
    Member
    • Topics: 0
    • Replies: 4
    • ☆

    i need help on diffrence between haphazard and random sampling tecchniques

    May 30, 2015 at 8:18 am #250424
    Ken Garrett
    Keymaster
    • Topics: 10
    • Replies: 10594
    • ☆☆☆☆☆

    Proper random sampling is done by consecutively numbering each item in the population then generating random numbers which determine which items will form the sample. There is no human intervention in the choice of items in the sample.

    Haphazard sampling would be like opening a file of invoices (say) at ‘random’ places and choosing the invoices there. This might approximate to random sampling but there is always the danger of bias ie favouring some items in the population. For example, the file might tend to open at:

    1 Where invoices were physically larger
    2 Where invoices were thicker.

    This can easily slide into very serious bias if the auditor said ‘I will always choose invoices from ABC LTd and XYZ ltd because they are simple to check’!

    Random sampling means that each item in the population has an equal chance of selection for the sample.

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