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Building Models

Building Models

• What do we need to know to build a model?
– For model checking we need to specify behavior

• Consider a simple vending machine
– A custome rinserts coins, selects a beverage and receives a can of soda

• Basically a state machine
– Starts in initial state and changes based on user interaction

• We need to know
– What state the vending machine can be in

– How the machine transitions from one state to another
– Where the machine starts

   Related Questions in Basic Statistics

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    Queuing theory: • Queuing theory deals with the analysis of lines where customers wait to receive a service:

    Q : Model Checking Approach Model Checking

    Model Checking Approach: • Specify program model and exhaustively evaluate that model against a speci?cation        –Check that properties hold   

  • Q : Problem on queuing diagram Draw a 

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  • Q : Calculate the p- value Medical tests

    Medical tests were conducted to learn about drug-resistant tuberculosis. Of 284 cases tested in New Jersey, 18 were found to be drug- resistant. Of 536 cases tested in Texas, 10 were found to be drugresistant. Do these data indicate that New Jersey has a statisti

  • Q : Time series what are the four

    what are the four components of time series?

  • Q : Designing a system What are the

    What are the questions that comes into mind when designing a system?

  • Q : Correlation analysis and the regression

    1).  When you take out a mortgage, there are many different kinds of costs.  Usually the two largest are the interest rate (annual percentage that determines the size of your monthly payment) and the loan fee (a one-time percentage charged to you at the time

  • Q : Simplified demonstration of Littles Law

    Simplified demonstration of Little’s Law:

    Q : Assumptions in Queuing system

    Assumptions in Queuing system: • Flow balance implies that the number of arrivals in an observation period is equal to the

  • Q : Sample z test and Sample t test A

    A random sample X1, X2, …, Xn is from a normal population with mean µ and variance σ2. If σ is unknown, give a 95% confidence interval of the population mean, and interpret it. Discuss the major diff