Answer:
Cost of goods sold as per average cost method = $92,458.5
Explanation:
As for the information provided as follows:
Opening Inventory 265 units @ $153 each = $40,545
Purchase 465 units @ $173 each = $80,445
Purchase 165 units @ $213 each = $35,145
Total data 895 units = $156,135
Average cost per unit = $156,135/895 = $174.45
In average cost method simple average is performed, whereas in weighted average weights are assigned.
Sale is of 530 units
Cost of goods sold as per average cost method = $174.45 
530 = $92,458.5
Answer: Hello your question is incomplete attached below is the complete question
answer:
1) attached below
2) Net operating income ( loss ) = - $104 million
Explanation:
Pretax operating loss = - $137 million
Non deductible Losses ; $5 million fine paid in 2021 ,
estimated $12 million loss from contingency that will be tax deductible in 2022
Enacted tax rate = 25%
Taxable operating income = - $120 million
attached below is the solution
<span>Henry must make set premium payments on his insurance policy until he dies, and if he cancels the policy he will receive the cash value. His plan is a whole life policy.</span>
Answer:
696,325 Pounds
Explanation:
The computation of the direct material purchase budget is given below:
Here we assume that
one pound = 16 ounces
Now total wax needed is
= Production of Finished Goods × Pounds of wax needed for production
= 730,000 candles × 11 ÷ 16
= 501,875 pounds
Now
Total direct material purchased = (Total Wax needed + Ending Inventory, Jan.31 - opening inventory) × unit price
= (490,625 Pounds + 12,900 pounds - 17,400 pounds) × $1.40 per pound
= 696,325 Pounds
In statistics, reliability refers to how consistent a measurement scale is overall. Measurement scales with high reliability scores would be able to produce similar results when tested with groups of samples similar to the initial testing conditions.
Reliability scores are measured through reliability coefficient which spans from 0.0 to 1.0. What a reliability coefficient of 0.92 means is (B) 92% of the variance in scores is explained by real differences.
