Answer:
$2 million or $2,000,000
Explanation:
The computation of the revenue and gross profit or loss will appear in the company’s income statement in the first year is shown below:
= revenue recognized - cost incurred
The Total cost is
= $6 + $9
= $15
And, the revenue recognized is
= $6 ÷ $15 × $20
= $8
So, the gross profit is
= $8 - $6
= $2
hence, the gross profit is $2 million
Answer:
True
Explanation:
I believe it's true. If we have a job opening for sales personnel and candidate is physically unable to walk or drive, then yes we can exclude that candidate. But once hiring manager is sure of the fact that disability will render that candidate unable to work then manager can preclude that candidate.
Answer:
The amount of cash collected in March should be:
$51,000.
Explanation:
a) Data and Calculations:
Budgeted sales and Cash Collections:
January February March April
Total sales $50,000 $60,000 $40,000 $30,000
Collections:
35% month of sales 17,500 21,000 14,000 10,500
45% month following 22,500 27,000 18,000
20% second month 10,000
Total collections in March $51,000
b) The above calculations concentrated on the month of March, being the month of interest. Though, sales on account totals $40,000, the cash collections for the month amounts to $51,000. This arises from cash collections from the months of January and February.
Automobile producer would see profit reduced the most and janitorial services would be least affected.
Explanation:
Recession is one of the phases of the trade cycle. In this phase of the trade cycle, there is downfall in the production, consumption, investment and saving in the economy. The growth rate of the economy sees a downfall in this phase.
Among the examples given here, automobile producer is the firm which would be one of the most affected company during the time of recession because it is not something essential but luxury.
An automobile producer is most likely to see reduced profits during a recession, while a manufacturer of boots and shoes is the least likely. The janitorial service may experience a moderate impact. Recessions cause cyclical unemployment, whereas industry changes or relocations lead to structural unemployment.
The firm likely to see its profits reduced the most in a recession is the automobile producer, since automobiles are expensive, durable goods that consumers often delay purchasing during economic downturns. On the contrary, a manufacturer of boots and shoes is likely to see the least reduction in profits as these items are essential and need to be replaced periodically irrespective of the economic climate. Lastly, a janitorial service may experience a moderate impact since cleanliness is essential for health and safety, yet businesses might reduce the frequency of services to cut costs.
Recessions lead to job losses, creating cyclical unemployment. For example, landscapers laid off due to a drop in new housing construction during a recession is a classic instance of this type of unemployment. Coal miners laid off due to new EPA regulations represent structural unemployment, as the industry changes in response to new legislation. The financial analyst moving to Arizona is an example of frictional unemployment, arising from normal labor turnover and job-seeking activities. Printers and factory workers who lose their jobs due to changing industry conditions or relocation of production are also examples of structural unemployment.
#SPJ3
Year Mileage
1 3000
2 4000
3 3400
4 3800
5 3700
a) Forecast the mileage for next year using a 2-year moving average.
b) Find the MAD based on the 2-year moving average forecast in part (a), (Hint: You will have only 3 years of matched data.)
c) Use a weighted 2-year moving average with weights of .4 and .6 to forecast next year's mileage. (The weight of .6 is for the most recent year.) What MAD results from using this approach to forecasting? (Hint: You will have only 3 years of matched data.)
d) Compute the forecast for year 6 using exponential smoothing, an initial forecast for year 1 of 3,000 miles, and a = .5.
Answer:
Explanation:
A) using 2-year moving average :
Year 6 : (3800 + 3700) = 7500 / 2 = 3750
2) Mean absolute deviation based on the forecast above :
(3000 + 4000) = 7000/2 = 3500
(4000 + 3400) = 7400/2 = 3700
(3400 + 3800) = 7200/2 = 3600
3000
4000
3400 __3500__100
3800__3700__100
3700__3600__100
Mean absolute deviation = (100 + 100 + 100) /3 = 300/3 = 100
C) weight of 0.4 and 0.6
(0.4*3000 + 0.6*4000) = 3600
(0.4*4000 + 0.6*3400) = 3640
(0.4*3400 + 0.6*3800) = 3640
3000
4000
3400 __3600__200
3800__3640__160
3700__3640__60
(200 + 160 + 60) = 420 / 3 = 140