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In: Statistics and Probability

QUESTION 8 In a base-case scenario, the output is determined by assuming a. worst values that...

QUESTION 8

  1. In a base-case scenario, the output is determined by assuming

    a.

    worst values that can be expected for the random variables of a model.

    b.

    the most likely values for the random variables of a model.

    c.

    the mean trial values for the random variables of a model.

    d.

    best values that can be expected for the random variables of a model.

    e.

    None of the above

1.5 points   

QUESTION 9

  1. The points where constraints intersect on the boundary of the feasible region are termed as the

    a.

    feasible points

    b.

    extreme points

    c.

    feasible edges

    d.

    objective function contour

    e.

    None of the above

1.5 points   

QUESTION 10

  1. A set of values for the random variables is called a(n)

    a.

    permuation

    b.

    combination

    c.

    event

    d.

    trial

    e.

    None of the above

1.5 points   

QUESTION 11

  1. Which of the following techniques belongs to predictive analytics?

    a.

    Linear regression

    b.

    Decision analysis

    c.

    Data visulaization

    d.

    Optimization models

    e.

    I do not know

1.5 points   

QUESTION 12

  1. The purpose of regression analysis is to

    a.

    verify a statistical hypothesis concerning the unknown population parameter

    b.

    check the correlation between the mean and the variance

    c.

    prove the mean depends on the standard deviation

    d.

    identify the relationship between a dependent variable and independent variables

    e.

    I do not know

1.5 points   

QUESTION 13

  1. The uncontrollable future events that affect the outcomes of a decision are known as

    a.

    states of nature

    b.

    alternatives

    c.

    payoffs

    d.

    decision outcomes

    e.

    I do not know

1.5 points   

QUESTION 14

  1. A __________ uses repeated random sample to represent uncertainty in a model representing a real system and that computes the values of model outputs.

    a.

    Monte Carlo simulation

    b.

    what-if analysis

    c.

    deterministic model

    d.

    discrete event simulation

    e.

    I do not know

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