Answer:
$855,903.20
Explanation:
Real discounting rate=> i= [i'-f]/[1+f]. Where i is the real interest rate. i' is the nominal interest rate which is given as 5% and f is the rate of inflation
i = (5%-3%)/1+3%)
i = 2/1.3
i = 1.94%
Her after tax earnings = 45,000*(1-0.15) = $38,250
Personal consumption = 25% of this, 38,250*0.75 = $28,688.
We are discounting her earnings back 45 years at 1.94%. The equation will be: 28,688 * {1-(1+0.01940)^-45} / {0.01940}
= 28,688 * {1 - 0.42120322099] / 0.01940
= 28,688 * 29.83488551597938
= 855903.1956824165
= $855,903.20
So, the amount of life insurance necessary for Jenny using the Human Life Value method is $855,903.20
Answer:
a)
P 175
Q = 250
Profit6,250
b)
P 325
Q = 875
Profit 153,125
c)
Q = 1200
P = 260
Profit = 287,000
Explanation:
It maximize profit at MR = MC
MR = 200 - 0.2Q
MC = 150
150 = 200-0.2Q
Q = 50/0.2 = Q = 250
Price:
250 = 2000 - 10P
P = 1750/10 = 175
<u></u>
<u>Profit: revenue - cost</u>
$175 x 250 session - $150 per session = 6,250
<em>At new functions:</em>
150 = 500-0.4Q
Q = 350 / 0.4 = 875
Price:
875 = 2,500 - 5P
P = (2500-875)/5= 325
<u>Profit</u>
(325 - 150) * 875 = 153,125
<u>If cost changes:</u>
cost: 1000 + 20Q
marginal cost: 20
20 = 500 - 0.4Q
Q = 480 / 0.4 = 1,200
Price:
1,200 = 2500 - 5P
P = 1300/5 = 260
<u>Profit</u>
(260 - 20)Q - 1,000 = 287,000
Answer:
Predictive models
Explanation:
Predictive modeling uses statistics to predict outcomes. It can be applied to any type of unknown event, regardless of when it occurred.
Answer:
It's Frence.
city of Verdun-sur-Meuse in northeast France
Answer:
<u>DM variances:</u>
Price 2650
Quantity -4,800
<u>Labor Variances:</u>
Rate:-2,000
Efficiency 1400
Explanation:
<u>DM variances:</u>
Price
(std - actual) x actual quantity
(2.4 - 2.2) x 13,250 = 2,650
Quantity
(standard quantity - actual quantity) x std price
(7.5x1,500 - 13,250) x 2.4 = -4,800
<u>Labor Variances:</u>
Rate:
(std rate - actual rate) x actual hours
(7 - 9) x 1,000 = -2,000
actual rate = actual cost/actual hours = 9,000/1,000 = 9
Efficiency
(std hours - actual hours) x std rate
(1,500 x 0.8 - 1,000) x 7 = 1400
