I found the problem at https://www.coursepaper.com/econ-81640/
The choices were;
A. Joe should drive to the warehouse because $1,000 is less than $1,200.
B. Joe should drive to the warehouse if his cost of driving to the warehouse is less than $200.
C. Joe should drive to the warehouse if his cost of driving to the warehouse is greater than $200.
D. Joe should drive to the warehouse because the $200 he would save by driving to the warehouse is more than 10% of the purchase price.
The best answer would be letter d. Joe should drive to the warehouse because the $200 he would save by driving to the warehouse is more than 10% of the purchase price.
Joe can save more if he rather drives his purchased computer to his home than have a delivery. The cost of delivery was too high.
Answer:
I dont know how this works but did u try 30
Explanation:
I thing bc your saying increase your adding on to soo yeah....
Answer:
$7,750
Explanation:
The computation of the net income for the first year is shown below:
but before that following calculations needed
The Cost of production is
= Direct material + Direct labor + Manufacturing overhead
= $11,625 + $11,000 + $10,000
= $32,625
The Unit product cost is
= $32,625 ÷ 7,250 units
= $4.50 per unit
Now
Cost of goods sold = Number of units sold × cost per unit
= 4,500 units × $4.50
= $20,250
And, finally
Net Income = Sales revenue - COGS - general, selling, and administrative expenses
= (4,500 units × $7) - $20,250 - $3,500
= $7,750
Answer:
the total asset turnover is 2.65 times
Explanation:
The computation of the total asset turnover is shown below;
As we know that
Total assets turnover is
= Net sales ÷ average of total assets
= $720,855 ÷ ($91,932 + $206,935 + $111,201 + $133,851) ÷ 2
= $720,855 ÷ $271,959.50
= 2.65 times
Hence, the total asset turnover is 2.65 times
Analysis or analyzing the data means to review or study the
data. One can use different statistical tools to analyze the data.
Drawing conclusion means to check or explain what the analysis
shows about the data and whether your data answer the question.
<span>For example, if one person uses the internet and you want to
check the internet speed is faster. The analysis is to identify the period of
fast and slow speed during 24 hours and drawing conclusion is that when you
recognize the internet speed is faster between 12 am to 4 am.</span>
