Question: Effect of Errors on Trial Balance The following errors occurred in posting from a two-column journal: 1. A credit of $8,150 to Accounts Payable was

 Effect of Errors on Trial Balance The following errors occurred in
posting from a two-column journal: 1. A credit of $8,150 to Accounts
Payable was not posted. 2. A debit of $2,000 to Cash was

Effect of Errors on Trial Balance The following errors occurred in posting from a two-column journal: 1. A credit of $8,150 to Accounts Payable was not posted. 2. A debit of $2,000 to Cash was posted to Miscellaneous Expense. 3. A credit of $270 to Cash was posted as $720. 4. A debit of $8,510 to Wages Expense was posted as $8,150. 5. An entry debiting Accounts Receivable and crediting Fees Earned for $9,300 was not posted. 6. A debit of $1,130 to Accounts Payable was posted as a credit. 7. A debit of $1,860 to Supplies was posted twice. Considering each case individually (i.e., assuming that no other errors had occurred): (a) Indicate by "yes" or "no" whether the trial balance would be out of balance. (b) If the answer to (a) is "yes", indicate the amount by which the trial balance totals would differ. (c) Indicate whether the debit or credit column of the trial balance would have the larger total. If "no", enter "0" in the difference column and select "neither" from the drop box under "Larger Total". Enter all amounts as positive numbers. Answers should be presented in the following form, with error (1) given as an example Error Out of Balance Difference Larger Total 1. Yes $8,150 Debit No $ Neither Yes 450 Credit 4. Nm & in i i $ $ $ $ $ 6. The trial balance is out of balance and the accountant suspects that a transposition or slide error has occurred. What will the accountant do to confirm this suspicion? Oa. Determine the amount of the error and divide by 2, then look for that amount on the trial balance. Ob. Determine the amount of the error and look for that amount on the trial balance. Oc. Determine the amount of the error and refer to the journal entries for that amount. Od. Determine the amount of the error and divide by 9. If the result is evenly divided, then this type of error is likely

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