Answer:
$31,100
Explanation:
On May 31 of the current year, the assets and liabilities of Riser, Inc. are as follows: Cash $20,500; Accounts Receivable, $7,250; Supplies, $650; Equipment, $12,000; Accounts Payable, $9,300.
Therefore the amount of stockholders’ equity as of May 31 of the current year can be derived by the formula : Capital = Assets - Liabilities
<u>Assets</u>
Cash $20,500;
Accounts Receivable, $7,250;
Supplies, $650;
Equipment, $12,000
TOTAL = 40,400
<u>Liabilities</u>
Accounts Payable, $9,300.
Therefore stockholders’ equity = 40,400 - 9,300 = $31,100
Answer:
Studying his biology test
Explanation:
opportunity cost refers to the cost of the forgone alternative inorder to enjoy another service
Answer:
The dentist should get a new drill and it does not matter who pays for the new drill
Explanation:
Based on the information given the economically efficient outcome is that The dentist should get a new drill and it does not matter who pays for the new drill reason been that the building is been share by both the dentist and the radio station in which the electrical current from the dentist's drill was the one who causes static in the radio broadcast making them to lose some amount of money which means the dentist should go ahead and buy a new drill in which it does not matter who pays for the drill because they both shared the building .
Answer:
Loan amount = $184,193.95
Explanation:
Interest will remain same each year. Interest per year = 200,000*10% = $20,000
Installment $21,215.85
Less: Interest <u>$20,000</u>
Payment to Principal <u>$1,215.85</u>
Total principal repaid in 13 years = $1,215.85 * 13 years = $15,806.05
So, the principal left = $200,000 - $15,806.05 = $184,193.95
Answer:
The correct answer is letter "C": it yields a larger variety of solutions than generally available using an LP method.
Explanation:
In Goal Programming (GP), the MINIMAX objective aims to minimize the maximum deviation from any type of objective. This approach carries a larger number of solutions compared to the Linear Programming (LP) method which mainly focuses on assigning more weight to each goal in the objective function.
