When you think of time, you may look at your clock to see what time it is. Say the clock reads 12:25 am, and you're feeling hungry. You happen to have $11.25 in your wallet. This makes you think of the relationship between the money and time
How could money relate to time? Well, time only goes through a sixty minutes an hour. But, while the time goes, you can think, "it's a quarter past 12." This would represent 12:25 p.m.
A quarter is money, and it was a quarter past 12. That is one way you could relate time to money. You could say, 11:25, 10:25, 9:25, and it could still mean a quarter past 11, 10, 9. "Quarter doesn't have the same meaning for both different terms, but we use the same vocabulary for both!
Answer:
When comparing the real estate market of any region or state, there are factors for consideration:
a) Population size
b) Employment status
c) Real estate market
d) Renting strength
e) Price
f) Quality in terms of home structure and a serene environment.
Explanation:
In the question, there are two American cities up for comparison: The city of Pittsburgh and the Philadelphia city, both in the Pennsylvania region. Both cities have comfortable environments which are habitable but here, we have to choose or rather compare both. The first factor is the population size. The two cities which are in the same region, have a considerable population size but when compared, Philadelphia has the upper hand. In real estate business, population is key as a region which a better and fuller population is appreciated more. The second factor is the employment status of the inhabitants. The employment status of these two cities are commendable but Pittsburgh is quite flabbergasting. The employment rate of Pittsburgh to Philadelphia is up to 57%. Employment status is a key determinant when real estate market is mentioned because employed persons are the ones who can actually pay when due. The third factor is the real estate market. This is another factor which is very important in determining the cities' real estate market. Over the years, Philadelphia has shown positive signs of a healthy real estate market which nicks that of Pittsburgh. Other factors listed above have clearly been favourable to Philadelphia because of their location but in terms of price, Pittsburgh appears cheaper with an average price of $1258 compared to Philadelphia's $1,652.
Answer:
a) Product G should be produced and sold
b) Net financial advantage $80
Explanation:
<em>A company should process further a product if the additional revenue from the split-off point is greater than than the further processing cost. </em>
<em>Also note that all cost incurred up to the split-off point are irrelevant to the decision to process further . </em>
$
Revenue after split-off point
($9× 40 litres) 360
Revenue at the slit of point
($4 × 40) <u> (160)</u>
Additional income from further processing 200
Further processing cost ($3× 40) <u>(120)</u>
Incremental income from further processing <u> 80</u>
Incremental income from further processing = $80
a) The product F should be processed further and sold as product G. Doing so would increase the net income by $80.
b) Net advantage $80
Answer:
The increase in demand of the product with the higher price or decrease in demand for the other goods is because the substitution effect is outweighed by the income effect of price increase.
Explanation:
The above explanation in economics refers to Giffen Good. The idea behind this concept Giffen is that if you do not have money and there is an increase in the price of a fundamental product such as bread, it is still impossible to afford other alternatives, hence you will go ahead to buy bread or avoid buying any of the product. Hence, the demand for other product will also decrease in this case. This means that the demand for product with higher price or decrease in other substitute product is due to the fact that the income effect outweighs the substitution effect. Hence people do not have the money to even afford the alternative product.
Answer: The standard deviation of the stock is 3.23 percentage
Explanation:
First we shall calculate the epected weighted average return of the stock.
We shall multiply the probability of the scenario with its expected return and then take the sum of the expected returns of different scenarios,
E(x) = (0.2 x 14%) + (0.7 x 8%) + (0.1 x 2%)
E(x) = 8.6%
We shall use the follwing formula to calculate the Variance of the stock,
σ²(x) = ∑ P(
) × [ - E(r)]²
σ²(x) = (0.2) (0.14 - 0.086)² + (0.7) (0.08 - 0.086)² + (0.1) (0.02 - 0.086)²
σ²(x) = 0.001044
To find the standar deviation,
σ(x) = 
σ(x) = 0.0323109
in percentage it would be 3.23%
