Answer:
A.)
Explanation:
two or more connected computers
Answer:
Explanation:
X001 Sales volum = 3000*$20 = $60,000
X002 Sales volum = 3000*$10 = $30,000
Total $90,000
Allocated to X002 based on sales volum is 33.33% (30,000/90,000) of the 60,000, which is $20,000
Cost per unit of X002 is $6.67 ($20,000/3,000). Sells 1000 units, $6.67*1000 = $6670.
Gross profit = Revenue $10,000 - Cost $6670 = $3330 in gross profit
Answer:
Portfolio A and Portfolio B
Explanation:
In this question, we apply the Capital Asset Pricing Model (CAPM) formula which is shown below
Expected rate of return = Risk-free rate of return + Beta × (Market rate of return - Risk-free rate of return)
The Market rate of return - Risk-free rate of return) = Market risk premium
Let us assume the market risk premium be X
For Portfolio A:
21% = 8% + 1.3 × X
13% = 1.3 × X
So, the X = 10%
For Portfolio B:
17% = 8% + 0.7 × X
9% = 0.7 × X
So, the X = 12.86%
Based on the market risk premium calculations, we can conclude that Portfolio A should be in short position while Portfolio B should be in long position as portfolio B has higher market risk premium than B
Answer:
B
Explanation:
In comparison to standards that apply to consumers, the UCC imposes on merchants Special business standards.
Answer:
The answer is below
Explanation:
Probability distribution are statistical function that shows all the possible outcomes of a random variable within a given range of values.
a) The mean (
) of a probability distribution of a discrete random variable is:
![\bar x=\Sigma\ [xP(x)]](https://tex.z-dn.net/?f=%5Cbar%20x%3D%5CSigma%5C%20%5BxP%28x%29%5D)
= (0 * 0.8) + (1 * 0.15) + (2 * 0.04) + (3 * 0.01) = 0.26
b) The standard deviation (σ) of a probability distribution of a discrete random variable is:
![\sigma=\sqrt{ \Sigma\ [(x-\bar x)^2*P(x)]}\\\\\sigma=\sqrt{(0-0.26)^2*0.8+(1-0.26)^2*0.15+(2-0.26)^2*0.04+(3-0.26)^2*0.01} \\\\\sigma=0.577](https://tex.z-dn.net/?f=%5Csigma%3D%5Csqrt%7B%20%5CSigma%5C%20%5B%28x-%5Cbar%20x%29%5E2%2AP%28x%29%5D%7D%5C%5C%5C%5C%5Csigma%3D%5Csqrt%7B%280-0.26%29%5E2%2A0.8%2B%281-0.26%29%5E2%2A0.15%2B%282-0.26%29%5E2%2A0.04%2B%283-0.26%29%5E2%2A0.01%7D%20%5C%5C%5C%5C%5Csigma%3D0.577)
