Answer:
c. Express agency
Explanation:
An express agency can be defined as a type of contractual agreement between two (2) parties, which typically involves one party being instructed and authorized to act on behalf of the other person, usually referred to as the principal. Express agency is a fiduciary role.
In this scenario, Peter hires Brunhilda to represent him and assist with the sale of his home. They sign a listing contract to memorialize their relationship. Thus, the type of agency that has been created between Peter and Brunhilda is an express agency.
Answer:
Direct labor rate variance= (Standard Rate - Actual Rate)*Actual hours
Explanation:
Giving the following information:
The production used 2.5 labor hours per finished unit, and the company paid $21 per hour, totaling $52.50 per unit of finished product.
<u>We weren't provided with enough information to solve the problem. We need estimated production hours and rates. But, I can leave the formula to solve it.</u>
To calculate direct labor rate variance, we need to use the following formula:
Direct labor rate variance= (Standard Rate - Actual Rate)*Actual Hours
Answer:
The appropriate solution is "$130,000".
Explanation:
The given values are:
No. of common shares outstanding
= 50,000
Dividend per share
= $1.80
No. of preferred shares outstanding
= 8,000
Dividend per share
= $5
Now,
The total dividend on common shares will be:
= 
On substituting the values, we get
= 
= 
($)
The total dividend on preferred stock will be:
= 
On substituting the values, we get
= 
= 
($)
Hence,
The total dividend paid by company will be:
= 
= 
= 
($)
Thus the above is the correct answer.
Answer:
$1 par value
Explanation:
The computation of the par value of the stock after the split is given below:
= $200,000 ÷ (100,000 × 2 )
= $200,000 ÷ 200,000
= $1 par value
Hence, the par value of its stock after the split is $1 par value
We simply divide the balance by the number of outsanding shares so that the par value could come
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
