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Author Question: Constraints are a. quantities to be maximized in a linear programming model. b. quantities to be ... (Read 206 times)

silviawilliams41

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Constraints are
 a. quantities to be maximized in a linear programming model.
  b. quantities to be minimized in a linear programming model.
  c. restrictions that limit the settings of the decision variables.
  d. input variables that can be controlled during optimization.

Question 2

A health conscious student faithfully wears a device that tracks his steps. Suppose that the distribution of the number of steps he takes is normally distributed with a mean of 10,000 and a standard deviation of 1,500 steps. How many steps would he have to take to make the cut for the top 5 for his distribution?
 a. 7,533
  b. 8,078
  c. 10,000
  d. 12,467



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bigsis44

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Answer to Question 1

c
RATIONALE: Constraints are restrictions that limit the settings of the decision variables.

Answer to Question 2

d
RATIONALE: We are asked to calculate the number of steps needed to put the student at the top 5 of days. This is equivalent to finding the 95th percentile of the distribution. Given a normal distribution with a mean of 10.000 and a standard deviation of 1,500 steps this value can be calculated using the Excel function NORM.INV(0.95, 10000, 1500) = 12,467.




silviawilliams41

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Reply 2 on: Jun 24, 2018
Wow, this really help


duy1981999

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Reply 3 on: Yesterday
Gracias!

 

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