Question 1 A(n) ________ is a representation of reality or a real-life situation
ID: 3130576 • Letter: Q
Question
Question 1
A(n) ________ is a representation of reality or a real-life situation.
model
objective
analysis
algorithm
None of the above
0.2 points
Question 2
The difference in decision making under risk and decision making under uncertainty is that under risk, we think we know the probabilities of the states of nature, while under uncertainty we do not know the probabilities of the states of nature.
True
False
0.2 points
Question 3
To determine the effect of input changes on decision results, we should perform a sensitivity analysis.
True
False
0.2 points
Question 4
In queuing analysis, total expected cost is the sum of expected ________ plus expected ________.
calling costs, waiting costs
service costs, waiting costs
service costs, arrival costs
calling cost, inventory costs
facility costs, calling costs
0.2 points
Question 5
What is the formula for the break-even point of a simple profit model?
Fixed Cost / (Selling Price Per Unit —Variable Cost Per Unit)
Fixed Cost / (Variable Cost Per Unit — Selling Price Per Unit)
Selling Price Per Unit — (Fixed Cost / Variable Cost Per Unit)
(Selling Price Per Unit —Variable Cost Per Unit) / Fixed Cost
Fixed Cost / Variable Cost Per Unit
0.2 points
Question 6
Utility values typically range from -1 to +1
True
False
0.2 points
Question 7
The Delphi method solicits input from customers or potential customers regarding their future purchasing plans
True
False
0.2 points
Question 8
Bias is the average error of a forecast model
True
False
0.2 points
Question 9
The best model is a statistically significant model with a high r-square and few variables
True
False
0.2 points
Question 10
Which of the following is a technique used to determine forecasting accuracy?
mean absolute percent error
moving average
Delphi method
exponential smoothing
regression
model
objective
analysis
algorithm
None of the above
Explanation / Answer
Question Answer Description
1 Model use of statistical model we can study the real rife situation
2 True in risk we know the expected outcome with some probability b
3 True technique used to determine how different values of an independent variable will
impact a particular dependent variable under a given set of assumptions
4 service cost, arrival cost
5 Fixed Cost / (Selling Price Per Unit —Variable Cost Per Unit)
6 True
7 True
8 False bias is the difference between population parameter
and statistic( estimator of population parameter)
9 True more r-square and less predictor is desirable property of a statistical model
10 mean absolute percent error it is the function of difference of estimated and observed value
of dependent variable
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