The basis for using a normal probability distribution to approximate the sampling distribution of the sample means and population mean is
a. Chebyshev's theorem.
b. the empirical rule.
c. the central limit theorem.
d. Bayes' theorem.
Q. 2The study of how changes in the input parameters of a linear programming problem affect the optimal solution is known as
a. regression analysis.
b. model analysis.
c. optimality analysis.
d. sensitivity analysis.
Q. 3A simple random sample of 31 observations was taken from a large population. The sample mean equals 5 . Five is a
a. population parameter.
b. point estimate.
c. population mean.
d. standard error.
Q. 4In linear programming models of real problems, the occurrence of an unbounded solution means that the
a. resultant values of the decision variables have no bounds.
b. mathematical models sufficiently represent the real-world problems.
c. problem formulation is improper.
d. constraints have been excessively used in modeling.
Q. 5The CEO of a company wants to estimate the percent of employees that use company computers to go on Facebook during work hours with 95 confidence. He selects a random sample of 150 of the employees and finds that 53 of them logged onto Facebook that day. What is the point estimate of the proportion of the population that logged onto Facebook that day?
a. 0.25
b. 0.35
c. 0.53
d. 0.65
Q. 6Which of the following error messages is displayed in Excel Solver when attempting to solve an unbounded problem?
a. Solver could not find a feasible solution.
b. Solver cannot improve the current solution. All constraints are satisfied.
c. Solver could not find a bounded solution.
d. Objective Cell values do not converge.
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