Answer:
Shareholder
Explanation:
A person or business that’s is a partial owner of a company
Answer and explanation:
a.
the table below shows the impact of dropping beta product
Loss of Contribution Margin if Beta is Dropped (75,000*64) -$4,800,000
Traceable Fixed Manufacturing Overhead (123,000*33) $4,059,000
Incremental Contribution Margin from Additional Alpha Sales (15,000*72)
$1,080,000
Increase in Net Operating Income if Beta is Dropped $339,000
Notes:
Contribution Margin Per Unit (Beta) = 150 (Selling Price) - 15 (Direct Material) - 28 (Direct Labor) - 20 (Variable Manufacturing Overhead) - 23 (Variable Selling Expenses) = $64 per unit
Contribution Margin Per Unit (Alpha) = 195 (Selling Price) - 40 (Direct Material) - 34 (Direct Labor) - 22 (Variable Manufacturing Overhead) - 27 (Variable Selling Expenses) = $72 per unit
check the attached files for additional details
where 9=b, 10=c, etc
Answer:
c. pool
Explanation:
I think it is right answer of ur Question
Answer:
B. two six-packs of Americana Beer.
Explanation:
A. a six-pack of Americana Beer.
B. two six-packs of Americana Beer.
C. $4 and the six-pack of Americana Beer.
D. $4.
six-pack of Americana Beer = $2
six-pack of Bavarian Beer = $4
1 six-pack of Bavarian Beer = $4
1 six-pack of Americana Beer = $2
2 six-pack of Americana Beer = $4
Therefore,
1 six-pack of Bavarian Beer = 2 six-pack of Americana Beer
You buy the six-pack of Bavarian Beer
The opportunity cost of the Bavarian Beer is two six-packs of Americana Beer.
B. two six-packs of Americana Beer.
Opportunity cost is the cost of satisfying a want at the expense of another. It can also be called real cost or true cost
Based on the percentage of readers who own a particular make of the car and the random sample, we can infer that there is sufficient evidence at a 0.02 level to support the executive claim.
<h3>What is the evidence to support the executive's claim?</h3>
The hypothesis is:
Null hypothesis : P = 0.55
Alternate hypothesis : P ≠ 0.55
We then need to find the test statistic:
= (Probability found by marketing executive - Probability from publisher) / √( (Probability from publisher x (1 - Probability from publisher))/ number of people sampled
= (0.46 - 0.55) / √(( 0.55 x ( 1 - 0.55)) / 200
= -2.56
Using this z value as the test statistic, perform a two-tailed test to show:
= P( Z < -2.56) + P(Z > 2.56)
= 0.0052 + 0.0052
= 0.0104
The p-value is 0.0104 which is less than the significance level of 0.02. This means that we reject the null hypothesis.
The Marketing executive was correct.
Find out more on the null and alternate hypothesis at brainly.com/question/25263462
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