Answer: $10 per month
Explanation:
$10 would be an ideal amount for me to pay to have access to the various social media sites if the major sites are on offer.
I think this amount reasonable because I do not use social media all that much but I would still like access to a variety of them. I would essentially therefore, be paying for my reduced time on the net.
Some might say that the companies might not make a profit if they charge $10 a month but I think they will because they make most of their money from ads so it would be good for them to offer the lowest subscription prices so that they can capture more people which will appeal to advertisers.
Answer:
The answer is III) make simultaneous trades in two markets without any net investment.
Explanation:
Arbitrage is simultaneously buying an asset ( may be currency, securities...) in a low-priced market and sell it in a high-priced market.
As a results, the investor earns profit from price differences in the two markets without risk and net investment. It is because the two trading happens at the same time once price differences in any two markets are recognized ( arbitrage opportunities recognized) and the proceed of selling the asset is immediately used for financing/returning to the buying of the asset.
Thus, (III) is the correct answer.
Answer:Yield to maturity is 9.59%; After tax cost of debt =7.672%
Explanation:
A) Yield to maturity ={ C + (FV-PV)/t} / {(FV +PV)/2}
Where C – Interest payment = $90
FV – Face value of the security
= $1000
PV – Present value/curent market value = $960
t – years it takes the security to reach maturity= 10 years
imputing the values and calculating,
yield to maturity ={ C + (FV-PV)/t} / {(FV +PV)/2}
= $90 + (1000-960)/10} / 1000 + 960 /2
$90 + 4= $94 /980= 0.0959
therefore Yield to maturity is 9.59%
B) After tax cost of debt = Yield To Maturity x (1 - tax rate)
=9.59% x (1-20%)= 9.59% x (1-0.2 )= 9.59% x 0.8 =
9.59 % x 80%=7.672%
Answer:
It is observed that the value of test statistics (19.168) is greater than the critical value (13.277), thus the rejected hypothesis, H₀ at α = 0.01.
There is enough evidence to conclude or deduce that sales were the same for all locations
Explanation:
Solution
Given that:
Object: Test whether the sales were the same for all locations by applying 1% significance level.
The Null Hypothesis H₀ : Sales were the same for all locations
E₁ = 70 +75 +70+ 50 + 35/5 = 60
The Alternative Hypothesis Hₐ : Sales were not the same for all locations
Now,
The decision rule:
the Level of Significance be α = 0.01
Degrees of freedom is df= Number of categories -1
=5-1 = 4
Note: Kindly find an attached copy of part of the work solution of this given question
