SEMIS CHAP 7 SEN ANALYSIS Flashcards

1
Q

an analysis technique that works on the basis of what-if
analysis like how independent factors can affect the dependent factor and is used to predict the outcome when analysis is performed under certain
conditions.

A

Sensitivity Analysis

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2
Q

is the simplest
method of
sensitivity analysis.

A

One-way analysis

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3
Q

is a variation of one-way analysis
that allows you to change two factors at the same time and observe how
they affect the outcome.

A

Two-way analysis

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4
Q

involves changing
one factor at a time
and observing how
it affects the
outcome.

A

One-way analysis

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5
Q

is a method of sensitivity analysis
that involves creating different
scenarios based on different
combinations of factors and
assumptions.

A

Scenario analysis

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6
Q

a method of sensitivity analysis that
uses random sampling and simulation to generate many possible outcomes based on the inputs and their probability distributions.

A

Monte Carlo

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7
Q

is derivative based (numerical or analytical)

A

Local Sensitivity Analysis

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8
Q

This method is for simple cost functions, but not
feasible for complex models.

A

Local Sensitivity Analysis

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9
Q

The term ____ indicates
that the derivatives are taken at a single point.

A

Local

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10
Q

often implemented using Monte Carlo techniques. This approach uses a global set of samples to explore the design space.

A

Global Sensitivity Analysis

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11
Q

Sensitivity analysis helps in understanding which
variables or factors have the most impact on the outcome or results.

A

Identifies key driver

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12
Q

Sensitivity analysis helps in assessing the level of risk and uncertainty associated with the project or decision

A

Evaluates risk and uncertainty

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13
Q

Sensitivity analysis aids in developing robust plans by considering multiple scenarios and variations, ensuring that plans can adapt to different possible outcome

A

Supports effective planning

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14
Q

Sensitivity analysis relies on assumptions that may not accurately represent the real-world complexity and dynamics, potentially
leading to biased or incomplete result

A

Assumption limitations:

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15
Q

Sensitivity analysis requires reliable data, and if the data
is insufficient or of poor quality, the analysis may produce unreliable or
misleading outcomes.

A

Data requirements:

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16
Q

Conducting sensitivity analysis can be time-consuming and
resource-intensive, especially with complex models or numerous variables.

A

Time-consuming:

17
Q

is one of the tools that help decision
makers with more than a solution to a problem.

A

Sensitivity analysis