Answer:
Wages of solar panel installers increase in another town and attract workers away from Billy's town.
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:
0.17
Explanation:
The computation of expected return in investment is shown below:-
Expected return in investment = (Expected return of outcome 1 × Probability of outcome 1) + (Expected return of outcome 2 × Probability of outcome 2) + (Expected return of outcome 3 × Probability of outcome 3)
= (0.15 × 0.50) + (0.25 × 0.30) + (0.10 × 0.20)
= 0.075 + 0.075 + 0.2
= 0.17
Therefore for computing the expected rate of return we simply applied the above formula.
Answer:
D.
Explanation:
Based on the scenario being described within the question it can be said that when allocating funds, the firm should probably assign the highest cost of capital to division Z because it is most likely the riskiest of the three divisions. This is because Division Z focuses on research and development which means that they might not actually discover or create something that can bring value to the company and is therefore highly risky.
Answer:
A Recession happened.
Explanation:
When the market sees a recession we see an increase in the unemployment rate due to cyclical unemployment whenever there in a business cycle even though the labor force was constant but in a recession companies face a lot of costs which become higher than their revenue so for example when there is a recession the cost of producing 1 more unit is actually higher than the revenue a firm gets from producing that 1 unit because marginal cost increases at a decreasing rate so they have to lay off people at a firm on that unit of production to maximize revenues.
<u>Answer</u>:
<u>No</u>
Explanation:
Remember, that as used in statistics the Confidence intervals <em>only</em> ascertain the extent to which a sample is uncertainty or certainty, that is, the student report of a 90% confidence interval is just a probability the university population of men and women surveyed would fall under this range of value (minus 150,30).
Therefore, it cannot be concluded that mu(women) is higher than mu(men.
