D, if he wants to create a soothing mood, he needs less intense colors.
Answer:
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Explanation:
I help u after my online class wait my answer
Answer:
the material quantity variance
Explanation:
As we know that
Material quantity variance is
= (Standard quantity - actual quantity) × standard price
This represent that the difference between the standard quantity and the actual quantity should be multiplied with the standard price is known as the material quantity variance
Therefore as per the given situation, the material quantity variance is the answer
Hence, the same is to be considered
Let x be the number of television panels that the Company B produced. It is stated in this item that 5% of these panels are defective. The number of defective panels from Company B is therefore equal to 0.05x.
With the representation above, the total number of panels produced by the two companies is equal to 12000 + x. The percentage of total defective panels to the total panels produced can be expressed through the equation,
((12000)(0.02) + 0.05x) / (12000+x))(100) = 3
Dividing the equation by 100
(240+0.05x)/(12000+x) = 0.03
Cross-multiplying the denominator of the left-hand side to the right hand side of the equation,
240 + 0.05x = 360 + 0.03x
Transposing like terms,
0.02x = 120
Dividing the equation by 0.02.
x = 6000
<em>ANSWER: The number of tv panels produced by Company B is 6000. </em>
Answer:
<h2>Assembly Line</h2>
1. Probability that a unit ends up in rework = Probability of defect in 20 stations multiplied by the probability of catching defects = 0.8%(1% x 80%) = 0.008
2. Probability that a defective unit is shipped = Probability of defective units during inspection plus Probability of defective units during rework = 25% (20% + (100-95%)) = 0.25
Explanation:
a) Probability of defect in 20 stations = 0.5% x 20 = 1%. Each station has a 0.05%
b) Probability of defective units during inspection = 20% (100% - 80)
c) Probability of defective units during rework = 5% (100% -95)
c) Probability is the likelihood or chance of an event occurring. Divide the number of events by the number of possible outcomes. This will give us the probability of a single event occurring.
