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Suppose Walmart has two aging categories for its accounts receivable: accounts that are 0-30 days old and accounts that are 31-90 days old. If any portion of an account receivable balance is over 90 days, that portion is written off as bad debt. An analysis of accounting records leads to the following accounts receivable matrix (P). Paid Bad Debt 0-30 Days 31-90 Days Paid 1.00 0.00 0.00 0.00 Bad Debt 0.00 1.00 0.00 0.00 0-30 Days! 0.56 0.00 0.31 0.13 31-90 0.44 0.18 0.29 Days 0.09 Currently, Walmart has outstanding balances of $1.25M in O-to-30-day accounts receivable and $2.75M in 31-to- 90-day accounts receivable. What is the estimated amount of allowance for doubtful accounts that will eventually be written off as bad debt? (Use 3 digits after the decimal point in your calculations.) A. $0.63M O B. $2.94M O C. $2.00M D. $3.37M O E. $1.06M Paid 0.00 0.00 Suppose Walmart has two aging categories for its accounts receivable: accounts that are 0-30 days old and accounts that are 31-90 days old. If any portion of an account receivable balance is over 90 days, that portion is written off as bad debt. An analysis of accounting records leads to the following accounts receivable matrix (P). 31-90 Bad Debt 0-30 Days Days Paid 1.00 0.00 0.00 Bad Debt 0.00 1.00 0.00 0-30 Days! 0.56 0.00 0.31 0.13 31-90 0.44 0.18 0.29 0.09 Days Currently, Walmart has outstanding balances of $1.25M in 0-to-30-day accounts receivable and $2.75M in 31-to- 90-day accounts receivable. What is the estimated proportion of the 31-90 day balance category that will eventually be paid off? (Use 3 digits after the decimal point in your calculations.) A. 0.790 B. 0.040 OC. 0.500 OD.0.210 E. 0.960 Suppose Walmart has two aging categories for its accounts receivable: accounts that are 0-30 days old and accounts that are 31-90 days old. If any portion of an account receivable balance is over 90 days, that portion is written off as bad debt. An analysis of accounting records leads to the following accounts receivable matrix (P). Paid Bad Debt 0-30 Days 31-90 Days Paid 1.00 0.00 0.00 0.00 Bad Debt 0.00 1.00 0.00 0.00 0-30 Days 0.56 0.00 0.31 0.13 31-90 0.44 0.18 0.29 0.09 Days Currently, Walmart has outstanding balances of $1.25M in O-to-30-day accounts receivable and $2.75M in 31-to- 90-day accounts receivable. What is the estimated proportion of the 0-30 day balance category that will eventually be written off as bad debt? (Use 3 digits after the decimal point in your calculations.) A. 0.500 B. 0.790 O C. 0.960 D. 0.210 O E. 0.040 Suppose Walmart has two aging categories for its accounts receivable: accounts that are 0-30 days old and accounts that are 31-90 days old. If any portion of an account receivable balance is over 90 days, that portion is written off as bad debt. An analysis of accounting records leads to the following accounts receivable matrix (P). Paid Bad Debt 0-30 Days 31-90 Days Paid 1.00 0.00 0.00 0.00 Bad Debt 0.00 1.00 0.00 0.00 0-30 Days 0.56 0.00 0.31 0.13 31-90 0.44 0.18 0.29 Days 0.09 Currently, Walmart has outstanding balances of $1.25M in 0-to-30-day accounts receivable and $2.75M in 31-to- 90-day accounts receivable. What is the determinant (d) of the fundamental matrix (N) used in this accounts receivable analysis? (Use 3 digits after the decimal point in your calculations.) A.0.518 B. 0.634 O C. 0.484 D. 0.590 O E. 0.447 What is the primary purpose of performing accounts receivable analysis? OA. To determine the shortest or fastest path to bankruptcy. B. To deliver food more efficiently at Roadrunner Caf. OC. To forecast the percentage of loan borrowers who will default or payoff in the future. O D.To ensure the accounts for Pokmon Go are assigned to paid users after payments are received. E. To deduce a bank's market share in the mortgage industry