Answer:
The probability of getting paid more than $6500 in 100 weeks is 0.6%
Explanation:
In this problem, we need to define a probabilty distribution for the money earned.
The 100-week payoff can be expressed as
Being L the numbers of weeks we have low pay and H the weeks we have high pay.
Now, as it is a coin flip, H is a binomial random variable with p=0.5 and n=100
For a total pay off of more than 6500, H has to be
That means that in at least 63 of the 100 weeks we have to get a high pay.
If we compute the individual probabilities we get P(H≥63)=0.006 or 0.6%.
Answer:
a computer forensics specialist is an information technology professional who collects and analyzes data from computers and electronic media to be used as legal evidence in criminal investigations.
Explanation:
3rd sentence
Answer:
D. A and C only
Explanation:
According to the law of supply: There is a direct or positive relationship between price of goods & services and quantity supplied in the market. It says that if price of goods increases in the market, then supply of goods also increases, which help the supplier to gain more profit out of high price in the market. It show upward slope of supply curve in the graph, which is positive relation of quantity supplied and price of goods.
Answer:
Explanation:
a) WACC of computer sales division:
Cost of equity = 4.3%+1.18×5.9%
=11.262%
WACC =(65300/(65300+705))×11.262%+(705/(65300+705))×6.2%×(1-35%)
=0.99*11.262% + 0.01*6.2%*0.65 = 11.15%+0.0403% = 11.2%
b. 12.5% = 43%×11.2%+57%×WACC (software div)
12.5% = 481.6% + 57%WACC
57%WACC = 469.1%
WACC (software division) = 8.23%
Answer:
$500 gain and $185 tax
Explanation:
Sale of share = No. of NQOs × No. of shares × Selling price per share
= 10 × 10 × $20
= $2,000
Basis = No. of NQOs × No. of shares × share price @$15
= 10 × 10 × $15
= $1,500
Gain realised = Sale of share - Basis
= $2,000 - $1,500
= $500
The tax is calculated as follows:
= Gain realised × marginal tax rate
= $500 × 37%
= $185
