P$6-3($Algo$)$ Determining Bad Debt Expense Based on Aging Analysis LO$6-2$Skip to question$[$The following information applies to the questions displayed below.$]$Blue Skies Equipment Company uses the aging approach to estimate bad debt expense at the end of each accounting year. Credit sales occur frequently on terms n$/60.$ The balance of each account receivable is aged on the basis of three time periods as follows: $(1)$ not yet due, $(2)$ up to one year past due, and $(3)$ more than one year past due. Experience has shown that for each age group, the average loss rate on the amount of the receivable at year$-$end due to uncollectibility is $($a$)3$ percent, $($b$)10$ percent, and $($c$)27$ percent, respectively.At December $31,2022($end of the current accounting year$),$ the Accounts Receivable balance was $$50,800$ and the Allowance for Doubtful Accounts balance was $$930($credit$).$ In determining which accounts have been paid, the company applies collections to the oldest sales first. To simplify, only five customer accounts are used; the details of each on December $31,2022,$ follow:B$.$ BrownAccount ReceivableDateExplanationDebitCreditBalance$03/11/2021$Sale$14,20014,20006/30/2021$Collection $4,8009,40001/31/2022$Collection $3,6005,800$D$.$ DonaldsAccount ReceivableDateExplanationDebitCreditBalance$02/28/2022$Sale$22,00022,00004/15/2022$Collection $7,60014,40011/30/2022$Collection $5,9008,500$N$.$ NapierAccount ReceivableDateExplanationDebitCreditBalance$11/30/2022$Sale$9,9009,90012/15/2022$Collection $3,0006,900$S$.$ StrothersAccount ReceivableDateExplanationDebitCreditBalance$03/02/2020$Sale$5,6005,60004/15/2020$Collection $5,600009/01/2021$Sale$9,5009,50010/15/2021$Collection $4,4005,10002/01/2022$Sale$22,50027,60003/01/2022$Collection $5,70021,90012/31/2022$Sale$2,10024,000$T$.$ ThomasAccount ReceivableDateExplanationDebitCreditBalance$12/30/2022$Sale$5,6005,600$P$6-3$ Part $1$ and $2$Required:Compute the total accounts receivable in each age category.Compute the estimated uncollectible amount for each age category and in total.

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P$6-3($Algo$)$ Determining Bad Debt Expense Based on Aging Analysis LO$6-2$

$[$The following information applies to the questions displayed below.$]$

Blue Skies Equipment Company uses the aging approach to estimate bad debt expense at the end of each accounting year. Credit sales occur frequently on terms $\frac{n}{60}.$ The balance of each account receivable is aged on the basis of three time periods as follows: $(1)$ not yet due, $(2)$ up to one year past due, and $(3)$ more than one year past due. Experience has shown that for each age group, the average loss rate on the amount of the receivable at year$-$end due to uncollectibility is $($a$)3$ percent, $($b$)10$ percent, and $($c$)27$ percent, respectively.

At December $31,2022($end of the current accounting year$),$ the Accounts Receivable balance was $$50,800$ and the Allowance for Doubtful Accounts balance was $$930($credit$).$ In determining which accounts have been paid, the company applies collections to the oldest sales first. To simplify, only five customer accounts are used; the details of each on December $31,2022,$ follow:

$\backslash$table$[[$B$.$ Brown$-$Account Receivable$],[$Date$,$Explanation,Debit,Credit$]]$ Balance

$\backslash$table$[[$D$.$ Donalds$-$Account Receivable,$],[$Date$,$Explanation,Debit,Credit,Balance$],[\frac{02}{28}\frac{?}{2022},$Sale,$22,000,,22,000],[\frac{04}{15}\frac{?}{2022},$Collection,$7,600,14,400,],[\frac{11}{30}\frac{?}{2022},$Collection,$5,900,8,500,]]$

$\backslash$table$[[$N$.$ Napier$-$Account Receivable,$],[$Date$,$Explanation,Debit,Credit,Balance$],[\frac{11}{30}\frac{?}{2022},$Sale,$9,900,,9,900],[\frac{12}{15}\frac{?}{2022},$Collection,,$3,000,6,900]]$

$\backslash$table$[[$S$.$ Strothers$-$Account Receivable$],[$Date$,$Explanation,Debit,Credit,Balance$],[\frac{03}{02}\frac{?}{2020},$Sale,$5,600,,5,600],[\frac{04}{15}\frac{?}{2020},$Collection,,$5,600,0],[\frac{09}{01}\frac{?}{2021},$Sale,$9,500,,9,500],[\frac{10}{15}\frac{?}{2021},$Collection,,$4,400,5,100],[\frac{02}{01}\frac{?}{2022},$Sale,$22,500,,27,600],[\frac{03}{01}\frac{?}{2022},$Collection,,$5,700,21,900],[\frac{12}{31}\frac{?}{2022},$Sale,$2,100,,24,000]]$

$\backslash$table$[[$T$.$ Thomas$-$Account Receivable$],[$Date$,$Explanation Debit,Credit,Balance$],[12/30/2022$ Sale,$5,600,5,600,]]$

Required:

Compute the total accounts receivable in each age category.

Compute the estimated uncollectible amount for each age category and in total.

Complete this question by entering your answers in the tabs below.

Compute the total accounts receivable in each age category.

$\backslash$table$[[$Age$,$Amount$],[$Not yet due,$$,14,600],[$Up to one year past due,,$],[$More than one year past due,,$],[$Total accounts receivable,$$,14,600]]$

Required:

Compute the total accounts receivable in e