Answer:
$9.50
Explanation:
In the given case, the value of the firm preferred stock is equal to the market value price or selling price of the preferred stock
In mathematically,
Value of the firm preferred stock = market price or selling price of the preferred stock
Value of the firm preferred stock = $9.50
It only consider the market price of the preferred stock
All other information which is given is not relevant. Hence, ignored it
Answer:
A. Market research consists of a series of facts that fails to consider the role of investor behavior in the decision-making process
Explanation:
The kind of data source is not known. Results may be invalid because some internet websites don’t upgrade their formats to the latest one. A lot of important details may also be missing from internet sites since some of their formats are incorrect while their data cannot be used as resource in some statistic software.
The significance of Total product, Average product, and Marginal product is that they show how effective, and efficient a manufacturing process is.
<h3>How do these metrics show productivity?</h3>
Taking the labor component in production as an example, one can see the impact of these metrics.
The total product will show just how much goods and services in total that the given amount of labor was able to produce. This gives management an idea of the effectiveness of the labor in producing goods and services.
The average product then shows how efficient labor is because it gives an idea of the products produced per labor.
Marginal product is very important as well because it helps management to know when to stop hiring labor. This point will be the production level that sees the marginal product being less than the cost of hiring additional labor.
These three metrics are therefore important to management because they help to determine effectiveness, efficiency, and cost of production.
Find out more on marginal product at brainly.com/question/24698689.
Answer:
(a) E(X) = 3
(b) Var(X) = 12.1067
Explanation:
(a) E[X]
E[X]T = E[X]T=A + E[X]T=B + E[X]T=C
= (2.6 + 3 + 3.4)/3
= 2.6 (1/3) + 3(1/3) + 3.4(1/3)
= 2.6/3 + 1 + 3.4/3
= 3
(b) Var (X) = E[X²]−(E[X])²
Recall that if Y ∼ Pois(λ), then E[Y 2] = λ+λ2. This implies that
E[X²] = [(2.6 + 2.6²) + (3 + 3²) + (3.4 + 3.4²)]/3
= (9.36 + 12 + 14.96)/3
= 36.32/3
= 12.1067
Var(X) = E[X²]−(E[X])²
= 12 - 3²
= 12.1067 - 9
= 3.1067
