Below are the <span> two reasons why the data might not support the hypothesis:
</span><span>
1) The hypothesis was wrong
2) The data is wrong
A hypothesis is a proposed thought that may clarify a perception or marvels. It is confirmed by testing it. In the event that the information bolsters the theory, at that point, we view the speculation as checked and genuine. Assuming, be that as it may, the information does not bolster the speculation or discredits it, at that point the theory is in a bad position, and we need to concoct an alternate speculation to clarify the perceptions.
</span>
Answer and Explanation:
The computation of the ending balance in the work in process inventory for each department is shown below:
For Cutting department
= Direct material + conversion + cost added for direct material + cost added for conversion - transferred in from cutting department
= $1,095 + $3,650 + $13,740 + $18,300 - $17,395
= $19,390
And, for binding department
= Transferred in from cutting department Direct material + conversion + cost added for direct material + cost added for conversion - transferred to finished goods
= $1,200 + $2,862 + $3,800 + $9,332 + $19,475 - $31,000
= $5,669
Whole life policies provide “guaranteed” cash value accounts that grow according to a formula the insurance company determines. Universal life policies accumulate cash value based on current interest rates. Variable life policies invest funds in subaccounts, which operate like mutual funds.
Answer:
d. $6,120 U
Explanation:
Calculation to determine the materials price variance for the month
Using this formula
Materials price variance = (AQ × AP) – (AQ × SP)
Let plug in the formula
Materials price variance = $138,600 – (7,200 meters × $18.40 per meter)
Materials price variance = $138,600 – $132,480
Materials price variance = $6,120 U
Therefore Materials price variance is $6,120 U
