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Dvinal [7]
3 years ago
10

Frank is trying to decide between two job offers. The compensation package for job A includes a $450-per-month health insurance

plan, to which Frank would contribute $85; a $45-per-month life insurance plan; a salary of $67,000 per year; and a 6% match on 401(k) contributions. The compensation package for job B includes a $500-per-month health insurance plan, to which Frank would contribute $115; a $40-per-month life insurance plan; a salary of $65,000 per year; and an 8% match on 401(k) contributions. Frank plans to contribute $8000 per year to his 401(k) plan. (10 points: Part I – 2 points; Part II – 2 points; Part III – 2 points; Part IV – 3 points; Part V – 1 point)
Part I: What is the yearly value of the health insurance benefit from job A? How about the yearly value of the health insurance benefit from job B? (2 points)



Part II: What is the yearly value of the life insurance benefit from job A? How about the yearly value of the life insurance benefit from job B? (2 points)


What is the yearly value of the 401(k) match from job A? How about the yearly value of the 401(k) match from job B?
Mathematics
1 answer:
miv72 [106K]3 years ago
8 0
<span>The yearly value of the health insurance from job A is $4380. To find this, take the $450 per month, and subtract Frank's contribution of $85. 450-85=$365 benefit per month. Multiply the monthly benefit by 12 months to get 365*12=4380. The yearly value of the health insurance from job B is $4620. To find this, take the $500 per month and subtract Frank's contribution, 500-115=385. No multiply the monthly benefit by 12 to get 385*12=4620.</span>
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\frac{(-7)^2}{(-7)^{-1}}=(-7)^{(2-(-1))}=(-7)^{(2+1)}=(-7)^3=-343

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2 years ago
Let X be the temperature in at which a certain chemical reaction takes place, and let Y be the temperature in (so Y = 1.8X + 32)
Black_prince [1.1K]

Answer:

See explanation

Step-by-step explanation:

Solution:-

The random variable, Y be the temperature of chemical reaction in degree fahrenheit be a linear expression of a random variable X : The  temperature in at which a certain chemical reaction takes place.

                             Y = 1.8*X + 32

- The median of the random variate "X" is given to be equal to "η". We can mathematically express it as:

                             P ( X ≤ η ) = 0.5

- Then the median of "Y" distribution can be expressed with the help of the relation given:

                             P ( Y ≤ 1.8*η + 32 )

- The left hand side of the inequality can be replaced by the linear relation:

                             P ( 1.8*X + 32 ≤ 1.8*η + 32 )

                             P ( 1.8*X ≤ 1.8*η )   ..... Cancel "1.8" on both sides.

                            P ( X ≤ η ) = 0.5 ...... Proven

Hence,

- Through conjecture we proved that: (1.8*η + 32) has to be the median of distribution "Y".

b)

- Recall that the definition of proportion (p) of distribution that lie within the 90th percentile. It can be mathematically expressed as the probability of random variate "X" at 90th percentile :

                             P ( X ≤ p_.9 ) = 0.9 ..... 90th percentile

- Now use the conjecture given as a linear expression random variate "Y",

          P ( Y ≤ 1.8*p_0.9 + 32 ) = P ( 1.8*X + 32 ≤ 1.8*p_0.9 + 32 )

                                                 = P ( 1.8*X ≤ 1.8*p_0.9 )

                                                 = P ( X  ≤ p_0.9 )

                                                 = 0.9

- So from conjecture we saw that the 90th percentile of "X" distribution is also the 90th percentile of "Y" distribution.

c)

- The more general relation between two random variate "Y" and "X" is given:

                            Y = aX + b

Where, a : is either a positive or negative constant.

- Denote, (np) as the 100th percentile of the X distribution, so the corresponding 100th percentile of the Y distribution would be : (a*np + b).

- When a is positive,

                   P ( Y ≤ a*p_% + b ) = P ( a*X + b ≤ a*p_% + b )

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                                                 = np_%        

- When a is negative,

                   P ( Y ≤ a*p_% + b ) = P ( a*X + b ≤ a*p_% + b )

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4 0
2 years ago
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