Fred is a car owner with automobile insurance with coverage only for accident liability. Choose the statements that accurately
describes the out-of-pocket costs to Fred for an accident that was determined to be Fred's fault.
A)
Fred must pay for the damages to the car with which he was in an accident
B)
Fred must pay for the damages done to his own car resulting from the
accident
Fred must pay for the bodily injuries to the other driver involved in the
accident
Fred must pay for any increases to his insurance premium occurring due to
the accident
D)
E)
Fred must pay for any of his own medical bills not covered by his own
health insurance resulting from the accident.
Answer:
B) Fred must pay for the damages done to his own car resulting from the accident.E) Fred must pay for any of his own medical bills not covered by his own health insurance resulting from the accident.Explanation:
Fred has insurance coverage for only accident liability. This means that his insurance will only pay for damage to the other party in the accident if it was Fred's fault and they will not cover Fred's own expenses.
Fred must therefore pay for damages done to his own car because his insurance will not cover that. Any medical bills that he incurs as a result of the accident that his medical insurance does not pay for will also have to be paid by him.
who is she what’s her product and company??
Answer:Harpo Productions (or Harpo Studios) is an American multimedia production company founded by Oprah Winfrey and based in West Hollywood, California. It is the sole subsidiary of her media and entertainment company Harpo, Inc.
Explanation:
Bandar Industries manufactures sporting equipment. One of the company’s products is a football helmet that requires special plastic. During the quarter ending June 30, the company manufactured 35,000 helmets, using 22,500 kilograms of plastic. The plastic cost the company $171,000. According to the standard cost card, each helmet should require 0.6 kilograms of plastic, at a cost of $8 per kilogram. Required: 1. What is the standard quantity of kilograms of plastic (SQ) that is allowed to make 35,000 helmets? 2. What is the standard materials cost allowed (SQ × SP) to make 35,000 helmets? 3. What is the materials spending variance? 4. What is the materials price variance and the materials quantity variance?
Answer:
1. 21,000 kg of plastic
2. $168,000
3. $3000 Unfavorable
4. Materials Price variance $9000 Favaorable
Materials Quantity variance $12,000 Unvaforable
Explanation:
1. Calculation to determine the standard quantity of kilograms of plastic (SQ) that is allowed to make 35,000 helmets
Using this formula
Standard quantity of kilograms of plastic (SQ) = Standard quantity required per helmet x Total no. of helmets
Let plug in the formula
Standard quantity of kilograms of plastic (SQ) = 0.60 kg x 35,000
Standard quantity of kilograms of plastic (SQ) = 21,000 kg of plastic
Therefore The standard quantity of kilograms of plastic (SQ) that is allowed to make 35,000 helmets is 21,000 kg of plastic
2. Calculation to determine the standard materials cost allowed (SQ X SP) to make 35,000 helmets
Using this formula
Standard materials cost allowed (SQ X SP) = Standard quantity required per helmet x Standard cost per kg x Total no. of helmets
Let plug in the formula
Standard materials cost allowed (SQ X SP)= 0.60 x $8 x 35,000
Standard materials cost allowed (SQ X SP)= $168,000
Therefore The standard materials cost allowed (SQ X SP) to make 35,000 helmets is $168,000
3. Calculation to determine the materials spending variance
First step is to calculate the Materials Price variance
Using this formula
Materials Price variance = (AQ × AP) - (AQ × SP)
Let plug in the
Materials Price variance= $171,000 - (22,500 x $8)
Materials Price variance= $171,000 - 180,000
Materials Price variance= -$9,000
= $9000 Favaorable
Second step is to calculate the Materials Quantity variance using this formula
Materials Quantity variance = (AQ × SP) - (SQxSP)
Let plug in the formula
Materials Quantity variance=
Materials Quantity variance= 180,000 - $168,000
Materials Quantity variance=$12,000
Materials Quantity variance= $12,000 Unvaforable
Now let calculate the Materials spending variance using this formula
Materials spending variance = Price variance + Quantity variance
Let plug in the formula
Materials spending variance= -$9,000+ $12,000 Materials spending variance= $3,000
Materials spending variance= $3000 Unfavorable
Therefore Materials spending variance is $3000 Unfavorable
4. Calculation to determine the materials price variance and the materials quantity variance
Calculation for the Materials Price variance Using this formula
Materials Price variance = (AQ × AP) - (AQ × SP)
Let plug in the formula
Materials Price variance= $171,000 - (22,500 x $8)
Materials Price variance= $171,000 - 180,000
Materials Price variance= -$9,000
Materials Price variance= $9000 Favaorable
Therefore Materials Price variance is $9000 Favaorable
Calculation to determine Materials Quantity variance using this formula
Materials Quantity variance = (AQ × SP) - (SQxSP)
Let plug in the formula
Materials Quantity variance= = 180,000 - $168,000
Materials Quantity variance=$12,000
Materials Quantity variance= $12,000 Unvaforable
Therefore Materials Quantity variance is $12,000 Unvaforable
SOMEONE PLEASE HELP I WILL GIVE BRAINLIEST
Answer:
Can you paste it?
Explanation:
You own a portfolio equally invested in a risk-free asset and two stocks. If one of the stocks has a beta of 1.12 and the total portfolio is equally as risky as the market, what must the beta be for the other stock in your portfolio
Answer:
Beta for the other stock = 1.88
Explanation:
A portfolio is said to be as risky as the market where its beta is exactly equal to 1. A beta of greater than 1 implies the portfolio is riskier than the average market, and less risky where the beta is less than 1.
A portfolio that has an equal proportion of three asset would mean a weight of 1/3 for each asset
So we can represent the portfolio beta as follows:
1 = 1/3×(0) + 1/3× (1.12) + 1/3×y
1= 0.37 + 0.33y
0.33y = 0.626
y= 0.626/0.33
y= 1.88
Beta for the other stock = 1.88