Answer:
It is 1.12 (B)
Explanation:
Profitability Index= PV of Future cash flow/Initial Investment
= $72,800/$65,000
=1.12
The index is a useful tool for ranking investment projects and making decision most especially when there is limited capital availbal and all the viable projects cannot be executed. It showed the value created per unit of investment.
Hence, the higher the profitability index, the more attractive the investment is.
Answer:
0.4
Explanation:
This problem has been solved using the method of integration.
We are required to solve for the probability that it takes Robby between 29 and 39 minutes to go grocery shopping
= X~U(20,45)
= 1/45-20
= 1/25
Then we get computation for p[29<x<39]
When we take the integrals with x = 1/25
We get
Probability that it takes Robby between 29 and 39 minutes to go shopping to be 0.4
Answer:
The cyclical unemployment rate is 4.2%
Explanation:
There is a natural unemployment rate which contains every unemployment rate which is cyclical unemployment plus structural unemployment plus frictional unemployment, so then in order to get cyclical unemployment we will use the below formula:
natural unemployment = Frictional unemployment + Cyclical unemployment +structural unemployment
therefore we are given the natural unemployment rate of 11%
Frictional Unemployment Rate of 4.4%
Structural unemployment rate of 2.4%
then we substitute on the above mentioned formula and solve for cyclical unemployment
11% =4.4% + Cyclical Unemployment Rate+ 2.4% then we transpose and solve for cyclical unemployment rate
11% - 4.4% -2.4% = Cyclical Unemployment Rate
4.2 % = Cyclical unemployment rate
this unemployment rate goes with the business cycle of any business in which if there is a recession in an economy it is accounted for even if there is economic growth it is accounted for.
With a mean of 1000 and a standard deviation of 600, the probability that the demand is going to be withing 25 percent of its forecast is 0.3230.
a. Mean = 1000
sd = 600
p(1000x 1-25%) - p(1000x 1+25%)
using the z test
d-μ/σ

find values using excel sheet formula
NORMSDIST(0.4167) - NORMSDIST(-0.4167)
=m0.6615 - 0.3385
= 0.3230
<h3>b. The probability that the forecast would be more than 40 percent</h3>
1000x 1+40%
= p(D>1400)
= 1- NormDist(0.667)
= 0.225
c. Cu = 121-72 = 49
Co = 72.50 = 22
The critical ratio calculation
49/22 +49 = 0.6901
Normsinv(0.6901) = 0.496
1000+0.496x600
= 1297
The units that Flextrola has to order is 1297.
<h3>d. The expected sales of Flextrola</h3>
1200-1000/600
= 0.3333
loss function from z = 0.333 is 0.254
600x0.254 = 152. 4
1000-152.4 = 847.6
the expected sales are 847.6
e 1200- 847.6
= 352. 4
The units of inventory that can be sold is 352.4
Read more on inventory here: brainly.com/question/24868116