Answer:
Results are below.
Explanation:
<u>First, we need to calculate the total unitary variable cost:</u>
Direct materials= 10
Manufacturing overhead= 5
Direct labor= 2
Selling and administrative= 5
Total unitary variable cost= $22
<u>Now, the contribution margin income statement:</u>
Sales= 5,000*38= 190,000
Total variable cost= 22*5,000= (110,000)
Total contribution margin= 80,000
Fixed Manufacturing overhead= (35,000)
Fixed Selling and administrative= (15,000)
Net operating income= 30,000
Answer:
truth of lending act
Explanation:
laid the foundation for consumer protection
Answer:
Alice's consumer surplus = $5
Jeff's consumer surplus = $16
Nicole's producer surplus = $1
Explanation:
Consumer surplus is the difference between the willingness to pay of a consumer and the price of a good.
Consumer surplus = willingness to pay - price of the good
Producer surplus is the difference between the price of a good and the least price the producer is willing to accept
Producer surplus = price of the good - least price the producer is willing to accept
Alice's consumer surplus = $30 - ($35 - $10) = $5
Jeff's consumer surplus = $20 - [$16 - (0.75 x $16)] = $16
Nicole's producer surplus = $501 - $500 = $1
Answer:
June 10
Dr Inventory $7,100
Cr Accounts payable $7,100
June 11
Dr Inventory $350
Cr Cash $350
June 12
Dr Accounts payable $600
Cr Inventory $600
June 19
Dr Account payable $6,500
Cr Cash $6,240
Cr Inventory $260
Explanation:
Preparation of a separate journal entries for each transaction on the books of Blossom Company.
Books of Blossom Company
June 10
Dr Inventory $7,100
Cr Accounts payable $7,100
June 11
Dr Inventory $350
Cr Cash $350
June 12
Dr Accounts payable $600
Cr Inventory $600
June 19
Dr Account payable $6,500
($7,100-$600)
Cr Cash $6,240
($6,500-$260)
Cr Inventory $260
(4%*$6,500)
Answer:
- <em>As explained below, given that the score of the person is among the 0.03125 fraction of the best applicants, </em><u><em>he can count on getting one of the jobs.</em></u>
<em></em>
Explanation:
The hint is to use <em>Chebyshev’s Theorem.</em>
Chebyshev’s Theorem applies to any data set, even if it is not bell-shaped.
Chebyshev’s Theorem states that at least 1−1/k² of the data lie within k standard deviations of the mean.
For this sample you have:
- mean: 60
- standard deviation: 6
- score: 84
The number of standard deviations that 84 is from the mean is:
- k = (score - mean) / standar deviation
- k = (84 - 60) / 6 = 24 / 6 = 4
Thus, the score of the person is 4 standard deviations above the mean.
How good is that?
Chebyshev’s Theorem states that at least 1−1/k² of the data lie within k standard deviations of the mean. For k = 4, that is:
- 1 - 1/4² = 1 - 1/16 = 0.9375
- That means that half of 1 - 0.9375 are above k = 4: 0.03125
- Then, 1 - 0.03125 are below k = 4: 0.96875
Since there are 70 positions and 1,000 aplicants, 70/1,000 = 0.07. The compnay should select the best 0.07 of the applicants.
Given that the score of the person is among the 0.03125 upper fraction of the applicants, this person can count of geting one of the jobs.
