Answer:
the total stockholder equity is $900,000
Explanation:
The computation of the total stockholder equity is shown below;
= Common stock + paid in capital in excess of par
= $850,000 + $50,000
= $900,000
We simply added these two amounts so that the correct amount could come
hence, the total stockholder equity is $900,000
As these two amount increased the equity
The reason for a bimodel distribution is that a bimodal distribution may occasionally result from merging data from two processes or populations.
<h3>What is a bimodel distribution?</h3>
- Two modes comprise a bimodal distribution. In other words, the results of two distinct processes are integrated into a single collection of data.
- The distribution sometimes goes by the name "double-peaked." Consider the distribution of production data over two shifts in a manufacturing facility.
- Bimodal distributions frequently happen as a result of underlying events.
- A bimodal distribution, for instance, can be seen in the amount of patrons who visit a restaurant each hour because people typically eat out for lunch and dinner.
- The bimodal distribution is brought on by the underlying human behavior.
- If a data set has two modes, it is bimodal. This indicates that no particular data value has the highest frequency of occurrence. Instead, the highest frequency is tied between two data values.
Learn more about bimodel distribution here:
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Answer:
$51,790
Explanation:
Amrein Corporation Manufacturing Overhead Budget
August
Budgeted direct labor-hours 2,500
Variable manufacturing overhead rate $5
Variable manufacturing overhead $12,500
($2,500×$5)
Fixed manufacturing overhead $43,010
Total manufacturing overhead $55,510
($43,010+$12,500)
Less depreciation 3,750
Cash disbursement for manufacturing overhead $51,790
Therefore the August cash disbursements for manufacturing overhead on the manufacturing overhead budget should be $51,790
Answer:
a. 3,760
Explanation:
The computation is shown below:
Period Demand Weight Demand × weight
1 3,500 0.15 525
2 3,800 0.20 760
3 3,500 0.25 875
4 4,000 0.40 1,600
Total 3,760
We simply multiplied the demand with the weight to get the total.