Output Analysis Flashcards

1
Q

is the analysis of data generated by a simulation run to predict or compare the performance of two (2) or more system designs.

A

Output analysis

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2
Q

Output analysis is performed since the output data from a simulation exhibits random variability when random or pseudorandom generators are
in use. (true or false)

A

true

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3
Q

Output analysis can determine the estimate of the mean and variance of random variables or the number of observations required to achieve a desired estimate precision. (true or false)

A

true

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4
Q

The output data of simulation models are used to help evaluate
performance measures – reflect the characteristics of the stochastic
process being modeled. (true or false)

A

true

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5
Q

The … also known as the average, gives the fundamental characteristics of the output data

A

mean

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6
Q

The …, to summarize the variability of the output data

A

standard deviation

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7
Q

The …, also known as the histogram, represents the distribution of the output data

A

frequency plot

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8
Q

are functions that are used to find an approximate value of a population parameter from random samples in the population

A

Point estimators

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9
Q

This pertains to the different between the expected value of the estimator and the value of the parameter being estimated

A

Bias

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10
Q

This states how close is the point estimator to the value of the parameter as it increases in size

A

Consistency

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11
Q

The efficiency of the estimator depends on the distribution of the population.

A

Efficiency

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12
Q

the desired parameter to be estimated lies between the two (2) values, I and u, that define the interval with a given probability.

A

Interval estimation

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13
Q

is the statistical tool mainly used in output analysis

A

Confidence interval

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14
Q

states that as the number of samples (n >= 30) increases, the distribution of the mean will be approximately normal.

A

Central Limit Theorem (CLT)

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15
Q

is the measure of risk or uncertainty. It is a range of values that is likely to contain the value of a single new observation given a specific setting or initial condition

A

Prediction interval

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16
Q

predict the spread for individual observations rather than the mean

A

Prediction interval

17
Q
A