Answer:
1. $ 750
2. - $ 50
3. $ 600
4. $ 600
Explanation:
1. Using the data GDP = C+I+G+ (X-M)
GDP= $500 +$100 + $ 200 + ($50-$100)
GDP= $ 800 + (-50)
GDP = $ 750
2. NET EXPORTS = EXPORTS - IMPORTS= $ 50- $ 100= -$50
3. PCE= Consumption+ Private Domestic Investment= $ 500 + $ 100= $ 600
4. GDP 2017= $ 750 *80%= $ 600
Answer:
Resources are limited in supply(scarcity) while wants are unlimited thus one has to make a choice to satisfy a need.Some choices are forgone(opportunity cost)
Answer:
2,000
Explanation:
To calculate how much of an accuracy related penalty the tax payer will be assessed, we use the following method.
Answer:
The correct answer is c. invite suppliers to bid on supplying what is requested.
Explanation:
B2B sales require special attention due to the profile of your buyer.
In this type of sale, buyers have a position much more linked to decision making, so they spend more time on a detailed and critical analysis of the proposal.
The B2B buyer chooses companies that allow the creation of strong business relationships, with a guarantee of supply and deadlines.
This is because B2B negotiations demand an effort, time and investment that, in case of any inconvenience, it can be difficult to recover and find a new supplier.
Answer:
a) H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
b) t stat = -0.064
c) We will reject the Null hypothesis and the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
Explanation:
<u>a) stating the null and alternative hypothesis</u>
H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
<u>b) performing the test </u>
critical value = -2.88
T stat = coefficient / std error
= -0.02 / 0.31 = -0.064
c) From the test, the value of T stat > critical value we will reject the Null hypothesis hence the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
