Answer:
true
Explanation:
beacuse the faces of industrtions
Answer:
$21,640.
Explanation:
So, we are given the following data or parameters or information which is going to assist us in solving this question/problem:
=> "New passenger automobile (September 30) = $61,600."
=> "Baking equipment (June 30) = 18,480"
=>" William decides to use the election to expense on the baking equipment (and has adequate taxable income to cover the deduction) but not on the automobile (which has a 5-year recoveryand he also uses the MACRS accelerated method to calculate depreciation but elects out of bonus depreciation. "
=> "Assume he has adequate taxable income."
Therefore, if we are to follow the rules of the Internal Revenue Services, the new passenger automobile that is the depreciable limit = 11,160 - 8000 = 3,160.
Hence, the maximum depreciation deduction = Baking equipment + depreciable limit = 18,480 + 3,160 = $21,640.
Answer:
Di = dividend in year i
D0 = D1 = D2 = 0
D3 = 2
D4 = D3 * (1+24%) = 2.48
D5 = D4 * (1+24%) = 3.0752
D6 = D5 * (1+7%) = 3.290464
require return r = 14%
g = 7% in the long run
So stock price in year 5 = D6/(r-g) = 3.290464/(14%-7%) = 47.0066
Current price = Present value of dividends and stock
= D1/(1+r) + D2/(1+r)^2 + D3/(1+r)^3 + D4/(1+r)^4 + D5/(1+r)^5 + Price in year 5/(1+r)^5
= 0 + 0 + 2/(1+14%)^3 + 2.48/(1+14%)^4 + 3.0752/(1+14%)^5 + 47.0066/(1+14%)^5
= 28.829219
= 28.83 (rounded to 2 decimals)
Explanation:
Answer: The $200,000 represents the revenue a company makes in a year.
Answer and Explanation:
The computation is shown below:
Upper specification limit is
= 5 + 0.1
= 5.1 mm
Lower specification limit is
= 5- 0.1
= 4.9 mm
The process cabability index is
= min(USL - mean ÷ 3 × standard deviation , mean - LSL ÷ 3 × standard deviation)
= min((0.1 ÷ 3 ×0.02) , (0.1 ÷ 3 × 0.02))
= min(1.67,1.67)
= 1.67
Since Upper specification is 5.1 mm
And, the Mean line is 5 mm
So, the upper specification lies at a distance for
= 5.1 - 5
= 0.1 mm
Standard deviation is 0.02 mm
Hence, upper specification lies at
= 0.1 ÷ 0.02
= 5
This standard deviation from the means
