Answer: Option "d" $280000 and $700000.
Explanation:
Option “d” is correct because the recognized gain is $280,000. Pam exchanges a building that has adjusted worth $520000 for the land which has a value of $700000. Thus, at this point, Pam is making a profit of (700000 - 520000) = $180,000. Moreover, he receives additional cash of $100,000. So, total gain by Pam is $180,000 + $100000 = $280,000. However, the tax basis of land refers to the fair market value at which it was acquired. So, it will be $700000.
Answer:
C. Insurance expense will increase $2,250
Explanation:
On April 1 2016, the following journal entry will be recorded in respect of the premium paid on a one year insurance policy:
Debit Credit
Prepaid Insurance $3,000
Cash $3,000
The year end given in this question is December 31, 2016 and the insurance premium is for one year and since the insurance premium is paid on April 1, 2016, therefore, only expense in respect of 9 months i.e. from April 1, 2016 to the December 31, 2016 will be recognised in this year. Remaining expense of three months will be recognised in the Year ended December 31,2017.
The following Journal entry will be recorded in respect of insurance expense in accounts on December 31, 2016.
Debit Credit
Insurance expense(3,000*9/12) 2,250
Prepaid Insurance 2,250
So the answer will be C. Insurance expense will increase $2,250
Answer:
D both A and b
Explanation:
For the fire inspectors, not only are they expected to confirm that appropriate materials are being used but also, to ensure that the quality are top notch. This is to prevent outbreak of fire. For example, in a place where metal bin with lid are to be used, if plastic bin is being used, there is high chances of fire outbreak occurring when a used cigarette stick is thrown into it.
Answer:
1,030
Explanation:
Calculation for what is the exponential smoothing forecast value
Exponential smoothing forecast value = 1,000 + 0.3 x (1,100-1,000)
Exponential smoothing forecast value = 1,000 + 0.3 x (100)
Exponential smoothing forecast value = 1,000 + 30
Exponential smoothing forecast value= 1,030
Therefore the exponential smoothing forecast value will be 1,030