Answer:
The annual amortization expense for 2019 will be $35000.
Explanation:
The amortization expense for the patent calculated based on the useful life of patent. The purchase of value of $235000 plus $10000 gives the total value of $245000 while use the patent of 7 years.
The formula for amortization expense = (Cost of patent - Residual value ) / Useful life of patent)
amortization expense = ($245000-0)/7 = $35000
The legal life would not count due patent in business use for limited life compare to legal life of patent.
Answer:
A and B
Explanation:
A) income statement
insurance expense-understand net income-overstated
B) balance sheet
prepaid insurance -overstated stockholders equity -overstated
Answer: Option C
Explanation: Perfect competition refers to a market structure under which there are large number of buyers and sellers each operating at a small level.
In such a market structure the supply curve is a horizontal line that depicts that whatever the quantity is the price will remain the same, that is, at the equilibrium level.
This happens due to the fact that there are large of number of participants present and no individual have the power to affect the price.
Thus, the correct option is C.
Answer:
Explanation:
The last payment date will be used in paying tax due for the fourth quarter the payment date will be the due date for payment which is January 31. and the amount will be 3024 assuming given 3024 is for the fourth quarter
b. The number of employees that are employed in the fourth quarter will be 10 that is if the decline in coming months is only because of disassociation of existing employees and no new employees are employed during the quarter.
c. Because of the time of submitting the form is Jan 31st. If taxes are paid on the due date, the due date is Feb 10. Amount of money to be paid is going to be 3024.
Answer:
The correct answer is genetic algorithms
Explanation:
Genetic Algorithms are adaptive methods that can be used to solve search and optimization problems. They are based on the genetic process of living organisms. Throughout the generations, populations evolve in nature according to the principles of natural selection and the survival of the strongest, postulated by Darwin (1859).
By imitating this process, Genetic Algorithms are able to create solutions for real-world problems. The evolution of these solutions towards optimal values of the problem depends to a large extent on their adequate codification.
