Answer:
c. costs of improvements with limited lives.
Explanation:
The cost of land and the cost of land improvement are two different things. As land is not depreciated because of unlimited life whereas the land improvement is depreciated.
The cost of land includes legal fees, survey fees, grading, filling, removing cost, special assessments, etc whereas the cost of land improvement includes parking lots, sidewalks, irrigation systems.
Answer:
Option (b) is correct.
Explanation:
Given that,
Estimated total fixed manufacturing overhead = $121,000
Estimated direct labor-hours for the period = 10,000
Actual total fixed manufacturing overhead = $113,000
Actual total direct labor-hours during the period = 10,900
Predetermined overhead rate:
= Estimated total fixed manufacturing overhead ÷ Estimated direct labor hours
= $121,000 ÷ 10,000
= $12.10
Therefore, the predetermined overhead rate is closest to $12.10.
<u>Answer:</u>
<em>Cameron is the sales director for his Northeast company's region. He's a rehional sales director.</em>
<u>Explanation:</u>
A Regional Sales Director is in charge of the closeout of a business' items or administrations in a predetermined district or geological region. The provincial project supervisor gives progressing backing to disseminate and create to item or administration.
Furthermore, the territorial project lead deals with a business group in the predefined zone. Subsequently, Cameron is the local deals Director.
Answer:
4.77 × 10^-4
Explanation:
Given that
Population of the city of Atlantis on March 30, 2003 = 193,000
No. of new active cases of TB occurring between January 1 and June 30, 2003 = 92
No. of active TB cases according to the city register on June 30, 2003 = 338
So, the incident rate of active cases is shown below:
= (No. of new active cases of TB occurring between January 1 and June 30, 2003) ÷ (Population of the city of Atlantis on March 30, 2003 - No. of active TB cases according to the city register on June 30, 2003)
= (92) ÷ (193,000 - 338)
= (92) ÷ (192,662)
= 4.77 × 10^-4
Answer:
For correlation 1 the standard deviation of portfolio is 0.433.
For correlation 0 the standard deviation of portfolio is 0.3191.
For correlation -1 the standard deviation of portfolio is 0.127.
Explanation:
The standard deviation of a portfolio is computed using the formula:
![\sigma_{P}=\sqrt{w^{2}_{1}\sigma_{1}^{2}+w^{2}_{2}\sigma_{2}^{2}+2\times r\times w_{1}\sigma_{1}w_{2}\sigma_{2}}](https://tex.z-dn.net/?f=%5Csigma_%7BP%7D%3D%5Csqrt%7Bw%5E%7B2%7D_%7B1%7D%5Csigma_%7B1%7D%5E%7B2%7D%2Bw%5E%7B2%7D_%7B2%7D%5Csigma_%7B2%7D%5E%7B2%7D%2B2%5Ctimes%20r%5Ctimes%20w_%7B1%7D%5Csigma_%7B1%7Dw_%7B2%7D%5Csigma_%7B2%7D%7D)
(1)
For <em>r</em> = + 1 compute the standard deviation of portfolio as follows:
![\sigma_{P}=\sqrt{w^{2}_{1}\sigma_{1}^{2}+w^{2}_{2}\sigma_{2}^{2}+2\times r\times w_{1}\sigma_{1}w_{2}\sigma_{2}}\\=\sqrt{(0.30^{2}\times 0.51^{2})+(0.70^{2}\times 0.40^{2})+(2\times1\times0.30\times 0.51\times0.70\times 0.40)}\\=\sqrt{0.187489}\\=0.433](https://tex.z-dn.net/?f=%5Csigma_%7BP%7D%3D%5Csqrt%7Bw%5E%7B2%7D_%7B1%7D%5Csigma_%7B1%7D%5E%7B2%7D%2Bw%5E%7B2%7D_%7B2%7D%5Csigma_%7B2%7D%5E%7B2%7D%2B2%5Ctimes%20r%5Ctimes%20w_%7B1%7D%5Csigma_%7B1%7Dw_%7B2%7D%5Csigma_%7B2%7D%7D%5C%5C%3D%5Csqrt%7B%280.30%5E%7B2%7D%5Ctimes%200.51%5E%7B2%7D%29%2B%280.70%5E%7B2%7D%5Ctimes%200.40%5E%7B2%7D%29%2B%282%5Ctimes1%5Ctimes0.30%5Ctimes%200.51%5Ctimes0.70%5Ctimes%200.40%29%7D%5C%5C%3D%5Csqrt%7B0.187489%7D%5C%5C%3D0.433)
Thus, for correlation 1 the standard deviation of portfolio is 0.433.
(2)
For <em>r</em> = 0 compute the standard deviation of portfolio as follows:
![\sigma_{P}=\sqrt{w^{2}_{1}\sigma_{1}^{2}+w^{2}_{2}\sigma_{2}^{2}+2\times r\times w_{1}\sigma_{1}w_{2}\sigma_{2}}\\=\sqrt{(0.30^{2}\times 0.51^{2})+(0.70^{2}\times 0.40^{2})+(2\times0\times0.30\times 0.51\times0.70\times 0.40)}\\=\sqrt{0.101809}\\=0.3191](https://tex.z-dn.net/?f=%5Csigma_%7BP%7D%3D%5Csqrt%7Bw%5E%7B2%7D_%7B1%7D%5Csigma_%7B1%7D%5E%7B2%7D%2Bw%5E%7B2%7D_%7B2%7D%5Csigma_%7B2%7D%5E%7B2%7D%2B2%5Ctimes%20r%5Ctimes%20w_%7B1%7D%5Csigma_%7B1%7Dw_%7B2%7D%5Csigma_%7B2%7D%7D%5C%5C%3D%5Csqrt%7B%280.30%5E%7B2%7D%5Ctimes%200.51%5E%7B2%7D%29%2B%280.70%5E%7B2%7D%5Ctimes%200.40%5E%7B2%7D%29%2B%282%5Ctimes0%5Ctimes0.30%5Ctimes%200.51%5Ctimes0.70%5Ctimes%200.40%29%7D%5C%5C%3D%5Csqrt%7B0.101809%7D%5C%5C%3D0.3191)
Thus, for correlation 0 the standard deviation of portfolio is 0.3191.
(3)
For <em>r</em> = -1 compute the standard deviation of portfolio as follows:
![\sigma_{P}=\sqrt{w^{2}_{1}\sigma_{1}^{2}+w^{2}_{2}\sigma_{2}^{2}+2\times r\times w_{1}\sigma_{1}w_{2}\sigma_{2}}\\=\sqrt{(0.30^{2}\times 0.51^{2})+(0.70^{2}\times 0.40^{2})+(2\times-1\times0.30\times 0.51\times0.70\times 0.40)}\\=\sqrt{0.016129}\\=0.127](https://tex.z-dn.net/?f=%5Csigma_%7BP%7D%3D%5Csqrt%7Bw%5E%7B2%7D_%7B1%7D%5Csigma_%7B1%7D%5E%7B2%7D%2Bw%5E%7B2%7D_%7B2%7D%5Csigma_%7B2%7D%5E%7B2%7D%2B2%5Ctimes%20r%5Ctimes%20w_%7B1%7D%5Csigma_%7B1%7Dw_%7B2%7D%5Csigma_%7B2%7D%7D%5C%5C%3D%5Csqrt%7B%280.30%5E%7B2%7D%5Ctimes%200.51%5E%7B2%7D%29%2B%280.70%5E%7B2%7D%5Ctimes%200.40%5E%7B2%7D%29%2B%282%5Ctimes-1%5Ctimes0.30%5Ctimes%200.51%5Ctimes0.70%5Ctimes%200.40%29%7D%5C%5C%3D%5Csqrt%7B0.016129%7D%5C%5C%3D0.127)
Thus, for correlation -1 the standard deviation of portfolio is 0.127.