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  2. Check digit - Wikipedia

    en.wikipedia.org/wiki/Check_digit

    The digit the farthest to the right (which is multiplied by 1) is the check digit, chosen to make the sum correct. It may need to have the value 10, which is represented as the letter X. For example, take the ISBN 0-201-53082-1: The sum of products is 0×10 + 2×9 + 0×8 + 1×7 + 5×6 + 3×5 + 0×4 + 8×3 + 2×2 + 1×1 = 99 ≡ 0 (mod 11). So ...

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  4. Double-entry bookkeeping - Wikipedia

    en.wikipedia.org/wiki/Double-entry_bookkeeping

    The purpose of double-entry bookkeeping is to allow the detection of financial errors and fraud. For example, if a business takes out a bank loan for $10,000, recording the transaction in the bank's books would require a DEBIT of $10,000 to an asset account called "Loan Receivable", as well as a CREDIT of $10,000 to an asset account called "Cash".

  5. One-pocket - Wikipedia

    en.wikipedia.org/wiki/One-pocket

    Handicapping one player by allowing points to be scored on bank and kick shots only is a particularly challenging spot, as the free-scoring opponent has a much greater variety of options for both balls to pocket and safeties (defensive positioning of the cue ball after a shot) to play against the opponent.

  6. Why some US bank deposits are held up days after ... - AOL

    www.aol.com/finance/why-us-bank-deposits-held...

    The private company that processes many bank-to-bank electronic transfers said a 'processing error' last week led to payment delays on roughly 850,000 transactions.

  7. Fat-finger error - Wikipedia

    en.wikipedia.org/wiki/Fat-finger_error

    [1] [2] [3] Automated systems within trading houses may catch fat-finger errors before they reach the market or such orders may be cancelled before they can be fulfilled. [ 4 ] The larger the order, the more likely it is to be cancelled, as it may be an order larger than the amount of stock available in the market.

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  9. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    When using approximation equations or algorithms, especially when using finitely many digits to represent real numbers (which in theory have infinitely many digits), one of the goals of numerical analysis is to estimate computation errors. [5] Computation errors, also called numerical errors, include both truncation errors and roundoff errors.

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