A feasible solution is ____________ if there are no other feasible points with a smaller objective function value in the entire feasible region.
a. a global minimum
b. not a local maximum
c. not a local minimum
d. bowl-shaped
Q. 2__________________ refers to the use of sample data to calculate a range of values that is believed to include the value of the population parameter.
a. Interval estimation b. Hypothesis testing
c. Statistical inference d. Point estimation
Q. 3If there are no other feasible points with a larger objective function value in the entire feasible region, a feasible solution is
a. an efficient frontier.
b. a global maximum.
c. not a local maximum.
d. a global minimum.
Q. 4The process of making conjecture about the value of a population parameter, collecting sample data that can be used to assess this conjecture, measuring the strength of the evidence against the conjecture that is provided by the sample, and using these results to draw a conclusion about the conjecture is known as
a. postulation. b. hypothesis testing.
c. statistical inference. d. empirical research.
Q. 5A feasible solution is __________ if there are no other feasible points with a better objective function value in the entire feasible region.
a. infeasible
b. unbounded
c. nonlinear
d. a global optimum
Q. 6The process of making estimates and drawing conclusions about one or more characteristics of a population through analysis of sample data drawn from the population is known as
a. inductive inference. b. deductive inference.
c. statistical inference. d. Bayesian inference.
Q. 7A feasible solution is a local minimum if there are no other feasible solutions with a
a. smaller objective function value in the immediate neighborhood.
b. same objective function value in the immediate neighborhood.
c. set of points defining the minimum possible risk in the entire feasible region.
d. same objective function value in the entire feasible region.
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