Answer:
A. $520 U
B.178 F
Explanation:
A.
Materials price variance = (AQ × AP) – (AQ × SP)
= $48,880 – (2,600 × $19)
=$48,880-$49,400
= $520 U
Therefore the material price variance for the month is $520U
B.
Materials quantity variance = SP(AQ – SQ*)=
$19 ($2,500 – $2,322) = $178F
Therefore the materials quantity variance for the month $178F
SQ = Standard quantity per unit × Actual output
= 8.6 × 270 = $2,322
Answer:
the first one by the website
Explanation:
the websites name is the eustions name
Using visual aids in long reports, which shows a lot of numerical values seems a bit boring, which is why using graphs, charts or any other visual aids aids the audience, which will make it easier for them to review the content of the presentation at the same time, understanding it easily than reading long words and texts.
Answer:
Demand in January will be 640 units
So option (C) will be the correct option
Explanation:
We have given average demand for a particular product is 800 units
And seasonal index = 0.8
We have to find the demand in a particular session , that is in January
We know that seasonal index is given by
So 
So demand in January = 640
So option (c) will be the correct option
Answer:
Exposure Bias
Explanation:
Basically, exposure bias states that consumer are more likely to buy brands which have higher brand recognition than new companies with no name recognition.
