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Pb03 Posted 17 years ago
Vocabulary

Normal allowance for error

Hi everyone,

I'm trying to understand the meaning of the phrase marked in bold below.
If you have any idea, would you explain some here for me?
Thank you~

pb

Here are some paragraphs for your reference.

Bob Hawke's November 14 “agenda for jobs” statement actually offered very little to the country's more than one million unemployed. Looking suspiciously like an attempt by Hawke to recreate happier days, it was a largely empty media event recalling some of the populism of the national summits of 1983-84.
The $313 million he promised to spend is about 0.3% of budget outlays, is a paltry amount. According to the Age's Kenneth Davidson, it is well within the normal allowance for error in budget estimates. At most, it will directly create between 5000-7000 new jobs, while around 125,000 new jobs are required each year just to stabilise unemployment at its current level.
  

Top answer

The expression is often used to describe discrepancies between survey poll results and what the people who were polled really thought. Large departments with large budgets typically have diffuculty in keeping their records accurately, and obviously can't expect the books to balance perfectly. So they agree that unless the discrepancy exceeds a certain percentage of the total budget, they won't even worry about it.

  • The expression is often used to describe discrepancies between survey poll results and what the people who were polled really thought.
  • Large departments with large budgets typically have diffuculty in keeping their records accurately, and obviously can't expect the books to balance perfectly.
  • So they agree that unless the discrepancy exceeds a certain percentage of the total budget, they won't even worry about it.
  • If it's bigger than that, they'll need to investigate to find the reason for the imbalance.
  • The amount Hawke offered is so small it wouldn't even be considered an error if they lost it Edit.
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1 Answers
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The expression is often used to describe discrepancies between survey poll results and what the people who were polled really thought.

Large departments with large budgets typically have diffuculty in keeping their records accurately, and obviously can't expect the books to balance perfectly. So they agree that unless the discrepancy exceeds a certain percentage of the total budget, they

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