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Questions and Answers
Cul es el nombre del tipo de simulacin que implica la modelizacin de sistemas con eventos discretos como llegadas y salidas?
Cul es el propsito de la verificacin en la validacin de modelos?
Cul es el nombre del error que se comete al rechazar la hiptesis nulla cuando es verdadera?
Cul es el propsito de la generacin de datos en el anlisis de datos simulados?
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Cul es el nombre de la prueba utilizada para comparar la igualdad de varianzas entre dos o ms grupos?
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Cul es el nombre de la prueba utilizada para comparar la media de una muestra con una media poblacional conocida?
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Cul es el nombre del tipo de simulacin que implica la modelizacin de sistemas complejos con retroalimentacin y stocks?
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Cul es el propsito de la validacin en lamodelizacin?
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Cul es el nombre de la prueba utilizada para comparar la media de dos muestras relacionadas?
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Cul es el nombre del tipo de simulacin que implica la modelizacin de sistemas con agentes autnomos?
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Study Notes
Simulation Modeling
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Simulation Techniques:
- Monte Carlo simulations: repeated random sampling to estimate outcomes
- Discrete-event simulations: modeling systems with discrete events (e.g., arrivals, departures)
- System dynamics: modeling complex systems with feedback loops and stocks
- Agent-based modeling: modeling systems with autonomous agents
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Model Validation:
- Verification: checking the model's internal logic and consistency
- Validation: checking the model's accuracy and relevance to real-world systems
- Face validity: checking if the model's outputs seem reasonable and plausible
- Sensitivity analysis: testing the model's sensitivity to input parameters
Statistical Hypothesis Testing
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Statistical Inference:
- Null hypothesis (H0): a statement of no significant difference or effect
- Alternative hypothesis (H1): a statement of significant difference or effect
- Type I error: rejecting H0 when it is true (false positive)
- Type II error: failing to reject H0 when it is false (false negative)
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Analysis of Simulated Data:
- Data generation: using simulation models to generate data
- Data analysis: applying statistical methods to analyze simulated data
- Inference: making conclusions about the population based on the sample data
Hypothesis Tests
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T-Test (Prueba de Medias):
- One-sample t-test: comparing a sample mean to a known population mean
- Independent samples t-test: comparing the means of two independent samples
- Paired samples t-test: comparing the means of two related samples
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Variance Test (Prueba de Varianza):
- Testing the equality of variances between two or more groups
- F-test: comparing the variances of two groups
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ANOVA (Prueba de Medias):
- One-way ANOVA: comparing the means of three or more groups
- Two-way ANOVA: comparing the means of groups with two factors
Studying That Suits You
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Description
Test your knowledge of simulation techniques, model validation, statistical inference, and hypothesis testing, including t-tests, variance tests, and ANOVA.