Answer and Explanation:
The computation is shown below:
1. Overhead rates
For Molding Deptt
= Total Estimated overhead ÷ Total Machine hours
= $400,000 ÷ 5,000
= $80 per machine hour
For Polishing Deptt
= Total Estimated overhead ÷ Total Labor hours
= $80,000 ÷ 20,000
= $4 per machine hour
2. Overheads assigned to Form A is
= (80 × 3500) + (4 × 5000)
= $300,000
Overheads assigned to Form B is
= (80 × 1500) + (4 × 15000)
= $180,000
Now
Overhead cost per unit
Form A = $300,000 ÷ 30,000 = $10 per unit
Form B = $180,000 ÷ 50,000 = $3.6 per unit
The fixed budget indicates sales of $50,000. actual sales were $55,000. The variance is $5,000 favorable.
The variance is a measure of variability. it's far calculated by taking the average of squared deviations from the mean. Variance tells you the diploma of unfold in your information set. The more unfold the data, the larger the variance is in relation to the mean.
In opportunity idea and information, variance is the expectation of the squared deviation of a random variable from its populace imply or sample suggest. Variance is a measure of dispersion, that means it's far a degree of the way a long way a fixed of numbers is spread out from their average price.
Not like variety and interquartile range, variance is a measure of dispersion that takes into consideration the unfold of all information points in a data set. It is the degree of dispersion the most often used, in conjunction with the standard deviation, that is truly the rectangular root of the variance.
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Answer:
133 acres of sugar cane
and 300 of soybean provide a profit of $ 733,000
Explanation:
We setup the fromulas and use excel solver:
labor hours: 3 x sugar acres + 4 x soybean <= 1,600
profit = 1,000 x sugar acres + 2,000 soybean
with the restriction soybean <= 300
SOLVER
acres hours PROFIT
sugar cane 133 x 3 = 399 x 1,000 = 133,000
soybeans 300 x 4 = 1,200 x 2,000 =<u> 600,000 </u>
TOTAL 733,000
Answer : R11 & U44
Explanation:
Considering the aforementioned data on the small set of products that comprise the specialty repair parts division. After performing ABC analysis on the data. I would suggest R11 and U44 for the firm keep the least control.
