There are three ways to cope up with the problem of scarcity:
a. Economic growth.
b. Improvement of use of available resources.
c. Reduction of wants.
Explanation: Economic growth mean the ability if an economy to produces products and services. Using the products wisely can improve the usage and helps in saving the resources. Society can improve the use their existing or available resources in order to reduce the scarcity by: Efficiency in productivity, efficient allocation of resources, full employment with minimum wastage and equity.
Answer: exhaustion
Explanation:
Given the information provided in the question, we are told that Maya collapsed and had to be taken to the emergency room. According to Hans Selye, Maya is in the exhaustion phase of the general adaptation syndrome.
At this stage, Maya's energy resources has been depleted after failing to recover from shock.
Answer:
Break-even point in units= 78,000
Explanation:
Giving the following information:
Fixed cost= $940,000
Total contribution margin= (6,000,000 - 4,600,000)= $1,400,000
Unitary contribution margin= 1,400,000 / 70,000= $20
Desired profit= $620,000
<u>To calculate the number of units to be sold, we need to use the following formula:</u>
Break-even point in units= (fixed costs + desired profit) / contribution margin per unit
Break-even point in units= (940,000 + 620,000) / 20
Break-even point in units= 78,000
Answer:
Audience; to maximize the reach and success of the campaign Strategy;
Explanation:
The element of planning is being identified by this process is Audience
The reason why audience is important in the process is because it has the purposeful intention of maximizing the reach and success of the campaign Strategy.
The cosmetic company is planning to launch a range of low cost cosmetics and this will appeal to college students because of their low income level. The success of the campaign therefore depends on the number of college students they are able to reach.
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
