The proposed changes to Leroux Health Insurance Plan A will affect Kevin's health care costs as follows: Costs for regularly scheduled health care will go down, but Kevin may end up paying more if he finds himself seriously ill or injured.
Under the proposed changes, the monthly premium will decrease from $248.00 to $203.00, which reduces Kevin's regular health care costs. The co-pays for brand-name prescriptions, generic prescriptions, and visits to primary care physicians and specialists will also decrease. However, the annual deductible will increase significantly from $5,500.00 to $8,500.00.
This means that if Kevin requires extensive medical treatment or experiences a serious illness or injury, he will need to pay a higher amount out-of-pocket before the insurance coverage kicks in. Therefore, while the proposed changes make regularly scheduled health care more affordable, they may result in higher costs for Kevin in case of significant medical events.
The intention behind the changes is to provide more affordable premiums, but it introduces a trade-off for individuals who require more extensive medical care. The most suitable answer from the options provided is A.
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Consider the CAPM. The risk free rate is 6% and the expected return on the market is 18%. What is the expected return on a stock with a beta of 1.7
Therefore, the expected return on the stock with a beta of 1.7 is 26.4%.
The Capital Asset Pricing Model (CAPM) is an equation used to determine an expected return of an asset based on the risk-free rate, the expected market return, and the asset's beta value. It is represented by the equation:
r = Rf + β(Rm - Rf)
Where:
r = expected return on the asset
Rf = risk-free rate
β = beta of the asset
Rm = expected return on the market
Using the provided values:
Rf = 6%
Rm = 18%
β = 1.7
We can plug these values into the CAPM equation to calculate the expected return on the stock:
r = 6% + 1.7(18% - 6%)
r = 6% + 1.7(12%)
r = 6% + 20.4%
r = 26.4%
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Two car wash employees are paid $7. 50 an hour each and are capable of washing 12 cars per hour, using $1 of water and $2 of soap and other cleaning supplies. What is the multifactor productivity of this operation?
To calculate the multifactor productivity of the car wash operation, we need to consider the output (number of cars washed) and the inputs (labor cost and material cost).
Given:
- Two employees are paid $7.50 per hour each.
- They can wash 12 cars per hour.
- The cost of water per car is $1, and the cost of soap and other cleaning supplies per car is $2.
Let's calculate the productivity ratio:
Total labor cost per hour = 2 employees * $7.50 per employee = $15.00
Total material cost per car = $1 (water) + $2 (soap and supplies) = $3.00
Total cost per hour = Total labor cost per hour + (Total material cost per car * Number of cars washed per hour)
Total cost per hour = $15.00 + ($3.00 * 12) = $15.00 + $36.00 = $51.00
Productivity = Output / Input
Output = Number of cars washed per hour = 12 cars
Input = Total cost per hour = $51.00
Multifactor Productivity = Output / Input
Multifactor Productivity = 12 cars / $51.00 = 0.235 cars per dollar
Therefore, the multifactor productivity of this car wash operation is 0.235 cars per dollar.
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In a mixed economy what is a typical way the government can reduce unemployment
In a mixed economy, a typical way the government can reduce unemployment is through fiscal policy measures, such as increasing government spending or implementing tax cuts.
By increasing government spending, the government can invest in infrastructure projects, education, healthcare, or other sectors that require a workforce. This increased spending creates a demand for goods and services, leading to job creation. Additionally, implementing tax cuts for businesses or individuals can incentivize spending and investment, stimulating economic growth and potentially reducing unemployment.
These fiscal policy measures aim to boost aggregate demand in the economy, which can lead to increased production and employment. However, it's important to note that the effectiveness of these policies can vary depending on various factors, including the overall economic conditions, the magnitude of the policy measures, and the responsiveness of businesses and consumers to the stimulus.
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