Linear programming which shows the best investment strategy for the client is Max Z=0.12I +0.09B and subject to constraints are :I+ B<=25000,
0.005 I +0.004B<=250.
Given maximum investment client can make is $55000, annual return= 9%, The investment advisor requires that at most $25,000 of the client's funds should be invested in the internet fund. The internet fund, which is the more risky of the two investment alternatives, has a risk rating of 5 per thousand dollars invested. the blue chip fund has a risk rating of 4 per thousand dollars invested.
We have to make a linear programming problem.
Let
I= Internet fund investment in thousands.
B=Blue chip fund investment in thousands.
Objective function:
Max Z=0.12I+0.09B
subject to following constraints:
Investment amount: I+ B<=25000
Risk Rating: 5/100* I+4/100*B<=250 or 0.005 I +0.004B<=250
I,B>=0.
Hence the objective function is Max Z=0.12 I+ 0.09 B.
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Answer:
b>3
Step-by-step explanation:
In 2015, eighty-seven babies per one thousand died before reaching one year of age. This figure is called the infant mortality rate.
Infant mortality is defined as a child dying before turning one. The number of newborn deaths for every 1,000 live births is known as the infant mortality rate. The infant mortality rate is a significant indicator of the general health of a society in addition to providing us with valuable information on maternal and baby health. In the United States, there were 5.4 infant deaths for every 1,000 live births in 2020.
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Answer:
x
Step-by-step explanation:
When you multiply 8•26 you get 208