Answer:
The journal entries to record service revenue during July should be:
Dr Cash 3,600
Cr Service revenue (80 hours per month) 3,600
Dr Accounts receivable [(115 - 80 hours) x $40] 1,400
Cr Service revenue 1,400
Since the company has collected only the regular hours provided according to the contract, the remaining hours should be recorded as accounts receivable.
Explain the effects of each of the following factors on the market price and quantity of cell phones available in the market:
An increase in consumers’ income = if there is an increase in consumers income, there may be a decrease in the cell phones available for purchase because more people would have money to purchase phones. If more people are willing and able to purchase phones, the market price may increase on the device.
Technical improvements that reduce production costs = If production costs of the devices go down, the market price may decrease making the phones more affordable. If phones become more affordable and decrease in price, the quantity sold may rise to reflect the change.
A sharp decline in the cost of making fixed-line calls = if the cost of making fixed-line calls decreases, there may not be any change to the market price of phones however their may be an increase in quantity sold.
Answer:
the variable overhead efficiency variance is $1,840 unfavorable
Explanation:
The computation of the variable overhead efficiency variance is shown below:
= Standard variable overhead rate × (standard hours - actual hours)
= $4.60 × (10,600 - 11,000)
= $1,840 unfavorable
Hence, the variable overhead efficiency variance is $1,840 unfavorable
As the standard hours would be less than the actual hours so it would be unfavorable variance
Maybe a product didn’t work out, a bad review from a customer or client, health inspections didn’t pass etc..
Answer:
Therefore Expected Value of the information = $65,000+$62,000 - $10,000 = $117,000
Explanation:
If the market research survey is available for $10,000.
Using a decision tree analysis, it has been found that the expected monetary value with the survey is $65,000. The expected monetary value with no survey is $62,000.
<u>Then the expected value of the information from this sample is the expected value of each outcome and deducting the costs associated with the decision</u>
Therefore Expected Value of the information = $65,000+$62,000 - $10,000 = $117,000
