Online profiling is collecting information about Internet users and their online behavior to create a profile of their tastes, interests, and purchasing habits.
In my opinion, bad neighborhoods have a large amount of cell phone stores because the people in the bad neighborhood usually don't come across (or have for that matter) phones. And to see the 'cool' cellphones in person and to have the people sell it in person, the people in the bad neighborhood should want it more. And considering the modern generation we are living in right now, people like technology and want it, in the term 'humans as economical creatures', a human's want will never be satisfied, they will always want more. So, as I said, people and their families like technology, and all the cellphone sellers will come to the neighborhoods who will buy and want more, why would they sell in places where people already have cell phones, so they go to bad neighborhoods.
unless you mean 'bad' isn't 'not highly rich' then I don't know, but as a thirteen year old, I tried.
Answer:
Credit Treasury Stock $20,000
Explanation:
When the company reissued the shares, the Treasury Stock account is credited by the same price they were acquire. i.e. in this case we acquire the treasury stock at a price of $20.
Cash (1,000 * 12) 12,000
Additional Paid in Capital 8,000
Treasury Stock (1,000 * 20) 20,000
Answer
The answer and procedures of the exercise are attached in the following archives.
Notes: All working are part of answer and provided as an ‘Equation Column’
BOLDED portion is the part of required answer
Requirement 1: Budgeted Production in Sq. yards
Step-by-step explanation:
You will find the procedures, formulas or necessary explanations in the archive attached below. If you have any question ask and I will aclare your doubts kindly.
Answer:
13.85% and 18.9%
Explanation:
As in this exercise we have a free risk asset we will assume that the t-bill has a standard deviation of 0%, so let´s firts calculate the expected return:
where E(r) is the expected return, 
is the return of the i asset and 
is the investment in i asset, so applying to this particular case we have:
the calculation of standar deviation follows the same logic of the previous formula:
