Answer:
Target dollar sales = $353,333
Explanation:
First we need to find out how much contribution do we need to get a profit of 70,000.
Profit= Contribution - Fixed cost.
70,000=Contribution-36,000
70,000+36,000=106,000
Contribution= 106,000
Now in order to find the sales we will use the formula
Target Sales= Contribution/Contribution margin
Contribution = 106,000
Contribution margin =30%=0.3
Input the values into the formula
106,000/0.3=353,333.333
Hey there!
The correct answer to your question is option A.
During an interview, you should tell stories of how worked with others to complete a project or solve problems.
This is because during an interview, you want whoever is interviewing you, to be comfortable with you and accept you! The other options won't make anyone want to accept you.
Hope this helps you.
Have a great day!
Answer:
the current total contribution margin = 100 x 60% x ($80 - $20) = $3,600 per day
scenario 1: $10 discount
$3,600 = 100 x ?% x ($70 - $20)
$3,600 = $5,000 x ?%
$3,600 / $5,000 = ?%
occupancy rate = 72%
scenario 2: 10% discount
$3,600 = 100 x ?% x ($72 - $20)
$3,600 = $5,200 x ?%
$3,600 / $5,200 = ?%
occupancy rate = 69.23%
Total cost of asset less depreciationThe book value of an asset is the original cost of the asset less its accumulated depreciation. At the end of year three, for example, total accumulated depreciation equals $7,080, and the book value equals $5,720.
The probability that you win something will be 1.
What is an probability in statistics?
The probability serves as a gauge for how likely an event is to occur. It gauges how likely an event is. P(E) = Number of Favorable Outcomes/Number of Total Outcomes is the formula for probability.
Can the probability of an event be 1?
If the chance is 1, the event will occur. There would be nothing you could do to prevent a road traffic collision if the likelihood of one was 1. It will occur. In reality, probability connected to commonplace events ranges between 0 and 1.
Can a probability be negative?
Although a quasiprobability distribution permits a negative probability or quasiprobability for some events, the probability of the result of an experiment can never be negative. These distributions may be applicable to conditional probability or unobservable events.
Learn more about probability: brainly.com/question/14210034
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