You also need to look at the variability of the machines. Less variation is more desirable to be purchased since it would not be expected to have many errors in cutting. The distinction of a certain output from other may affect the quality of your product therefore the less variations there is, the more desirable the machine would be.
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Given that Jenny earned $44,500 in 2016.
Her contribution to the Social Security is given by: 6.2% of $44,500 = 0.062 x 44500 = $2,759
Her employer's contribution to the Social Security is given by: 6.2% of $44,500 = 0.062 x 44500 = $2,759
Her contribution to the medicare is given by: 1.45% of $44,500 = 0.0145 x 44500 = $645.25
Her employer's contribution to the Social Security is given by: 1.45% of $44,500 = 0.0145 x 44500 = $645.25
Therefore, her total FICA tax is 2(2,759) + 2(645.25) = $5,518 + $1,290.50 = $6,808.50
Answer:
The correct option is D: the positive utility Laura received from seeing her portfolio value rise was less than the disutility she felt when its value declined.
Explanation:
Behavioral economics suggests that the pain felt when you lose $1000 is more than the joy you experience when you gain $1000 say in a lottery or any exercise without having to do any work from it. Thus this implies that positive utility is less than disutility in the case of Laura as depicted in the example.
Answer:
Design Capacity Utilization= 75%
Production efficiency = 120%
Explanation:
Okay, so the question is to determine both the design and the effective capacity utilization measures and make a conclusion from there
1. The Capacity Utilization = The Actual Output/ Design Capacity
Actual Output= 300 hamburgers a day
Design Capacity = 400 Hamburgers a day
Therefore Capacity Utilization = 300 hamburgers/400 hamburgers x 100
= 75%
2. The Efficiency of the production = The Actual Output / The Effective Capacity
Actual Output = 300 Hamburgers a day
Effective Capacity = 250 hamburgers
= 300 Hamburgers/ 250 Hamburgers x 100
= 120%
Conclusion
First we see that the actual utilization of capacity is more better than the effective capacity and this is good. Also, the Design Capacity is higher than the actual capacity utilization which should also be expected as design capacity is a calculation based on ideal conditions that may be not realistic in real life conditions.
