Answer:
![8^{18}](https://tex.z-dn.net/?f=8%5E%7B18%7D)
Step-by-step explanation:
![8^15 / 8^-3\\=8^{15-(-3)}\\=8^{15+3}\\=8^{18}](https://tex.z-dn.net/?f=8%5E15%20%2F%208%5E-3%5C%5C%3D8%5E%7B15-%28-3%29%7D%5C%5C%3D8%5E%7B15%2B3%7D%5C%5C%3D8%5E%7B18%7D)
Answer:
ok sooo just go over the grfat and mm count it up to the dot.
Step-by-step explanation:
Answer:
pus$y
Step-by-step explanation:
Answer:
The return on assets in this business for Macrosoft is
ROA = 10.50%
Step-by-step explanation:
Return on Equity:
ROE represents how much a firm is generating profits by using the shareholder's money.
ROE is calculated as
Return on Assets:
ROA represents how much a firm is generating profits for every dollar of its assets.
ROA is calculated as
What is the return on assets in this business if Macrosoft has no debt?
Debt plays an important role in the calculations of return on assets.
We know that
Assets = Liabilities + Equity
Since the Macrosoft has no debt, its return on assets will be same as return on equity.
Assets = Equity
ROA = ROE
ROA = 10.50%
Answer:
The probability that Actuary Rahul examines fewer policies that Actuary Toby = 0.2857
Step-by-step explanation:
It is said that Actuary Rahul examines a low risk policy
Probability of a low risk policy having a claim = 10% = 0.1
Actuary Toby examines high risk policy
Probability of a high risk policy having a claim = 20% = 0.2
Let the number of policies examined by actuary Rahul before he finds a claim and stop be n
Probability that actuary Rahul examines exactly n policies = ![0.9^{n-1} (0.1)](https://tex.z-dn.net/?f=0.9%5E%7Bn-1%7D%20%280.1%29)
Probability that Toby examines more than n policies = ![0.8^n](https://tex.z-dn.net/?f=0.8%5En)
Since the claim statuses of policies are mutually independent, the probability that both events happen simultaneously = ![0.9^{n-1} (0.1) (0.8)^n](https://tex.z-dn.net/?f=0.9%5E%7Bn-1%7D%20%280.1%29%20%280.8%29%5En)
probability that both events happen simultaneously = ![\frac{0.1}{0.9} (0.72^{n})](https://tex.z-dn.net/?f=%5Cfrac%7B0.1%7D%7B0.9%7D%20%280.72%5E%7Bn%7D%29)
The probability that Actuary Rahul examines fewer policies that Actuary Toby =
= ![\frac{1}{9}\sum\limits^ \infty_1 { 0.72^{n} } = \frac{1}{9} (\frac{0.72}{1-0.72} ) = \frac{1}{9} (\frac{0.72}{0.28} )](https://tex.z-dn.net/?f=%5Cfrac%7B1%7D%7B9%7D%5Csum%5Climits%5E%20%5Cinfty_1%20%7B%200.72%5E%7Bn%7D%20%7D%20%3D%20%5Cfrac%7B1%7D%7B9%7D%20%28%5Cfrac%7B0.72%7D%7B1-0.72%7D%20%29%20%3D%20%5Cfrac%7B1%7D%7B9%7D%20%28%5Cfrac%7B0.72%7D%7B0.28%7D%20%29)
The probability that Actuary Rahul examines fewer policies that Actuary Toby = 0.2857