Answer:
The synergistic benefits from the merger = $38 million
Explanation:
Given:
Who Inc. offered amount = $542 million
Dunn IT current worth = $504 million
Computation of synergistic benefits from the merger :
The synergistic benefits from the merger = Who Inc. offered amount - Dunn IT current worth
The synergistic benefits from the merger = $542 million - $504 million
The synergistic benefits from the merger = $38 million
The percentage of the total salary that is paid with the total team salary to running backs is 9 parentage.
<h3>What is running back?</h3>
In gridiron football, a running back is defined as a member of the violative backfield. A running back's fundamental obligations are receiving handoffs from the quarterback, lining up as a receiver to catch the ball, and blocking.
<u>Computation of percentage of running back</u>:
Firstly, calculate the amount of running back:

Then, the percentage of total salary is paid to running backs are:\

Therefore, option b is correct.
Learn more about the running back, refer to:
brainly.com/question/14312628
#SPJ1
Answer:
$307.2 per year
Explanation:
We know that,
Dividend yield = Percentage of the current stock selling price
So, the dividend would be
= $48 × 3.2%
= $1.536
For 200 shares, the dividend income would be
= Number of shares purchased × dividend per share
= 200 shares × $1.536
= $307.2 per year
First, we have to find out the dividend per share and then multiply it by the number of shares purchased
Answer:
$7.5 per machine hour
Explanation:
The computation of the budgeted manufacturing overhead rate is shown below:
The budgeted manufacturing overhead rate = Estimated manufacturing overhead costs ÷ Estimated machine hours
= $300,000 ÷ 40,000 machine hours
= $7.5 per machine hour
In order to compute the budgeted manufacturing overhead rate we simply divided the estimated manufacturing overhead costs by the estimated machine hours.
Answer: The distribution of sample means is:
As the sample size is more than 30 so the sampling distribution of the sample means can be said to be approximately normal with the mean equal to 10.53 hours and standard deviation equals to 0.33 hours.
Explanation:
The mean,
μ=10.53
The population standard deviation,
σ= 2
The sample size, n=36
z score:
z= (xbar −μ)/σ
The standard error:
σxbar=σ/√n
=2/√36
=0.33
The standard error represents the distribution sample mean is 0.33.