Histogram Flashcards

1
Q

is the process of collecting and analyzing input data to increase the accuracy of a simulation

A

Input data modeling

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2
Q

The collection and analysis of input data require time and resource commitment, particularly in discrete event simulation (true or false)

A

true

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3
Q

In a queuing system simulation, the typical input data are the distribution of time between arrivals and service time (true or false)

A

true

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4
Q

Input data models provide a driving force for a simulation (true or false)

A

true

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5
Q

What are the possible steps in developing an input data model?

A
  1. Collecting data from a system.
  2. Identifying the probability distribution to represent the input process.
  3. Choose appropriate/applicable parameters for the distribution.
  4. Evaluating the chosen distribution.
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6
Q

is a big part of solving real-life problems, particularly in input data modeling

A

Data collection

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7
Q

What are the following practices that are highly suggested to be observed during data collection?

A
  1. Plan ahead and/or conduct a pre-observing session.
  2. Perform general analysis of data as it is being collected.
  3. Construct a scatter diagram to check for relationship between variables.
  4. Check for auto-correlation.
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8
Q

a mathematical representation of the degree of similarity between a given time series and a lagged version of itself over successive intervals

A

autocorrelation

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9
Q

is a graphical representation that organizes a group of data points into user-specified ranges

It represents the frequency distribution of variables in a data set

A

histogram

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10
Q

it condenses a graphical representation that organizes a group of data points into user-specified ranges.

It represents the frequency distribution of variables in a data set.

A

histogram

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11
Q

Histograms are commonly used in Statistics to demonstrate how many of a certain type of variable occurs within a specific range (true or false)

A

true

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12
Q

The common shape of the distribution, both for natural and industrial settings, is the …

A

normal distribution

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13
Q

What are the other distribution shapes?

A
  1. Bi-Modal Distribution.
  2. Unitary Distribution.
  3. Negatively Skewed. (Left skewed)
  4. Positively skewed. (Right skewed)
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14
Q

In histograms, the number of class intervals, or the class boundaries depends on the number of ..

A

observations and the dispersion of the data, and the square root of the sample size.

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15
Q
A
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