I want to know if this statements below are true or not, and why the statements

Question

I want to know if this statements below are true or not, and why the statements below are true or not true.

1. Discrete event simulation is time driven, that is time progresses in intervals of a fixed amount.

2. To record the amount of time that a queue contains 0-5 entities, 5-15 and 15-30 entities, a frequency module would be used with a frequency type of time.

3. The system state can only change when an event occurs, but it doesn't always change.

4. To achieve the most fundamental change in a distribution the location parameter(?) should be changed.

5. A simulation model in which a manufacturing shift stops making parts at 4:00pm but doesn't cease its operations until all WIP (work in process) has cleared the system is an example of a steady state simulation.

6. Histograms and scatter diagrams are used to determine the independence of sample data.

7. Goodness of fit tests, such as X2, test the hypothesis that the collected sample data is an independent sample from a chosen distribution function. Rejecting the null hypothesis means that the chosen distribution does not adequately describe the sample data.

8. Sample variance, with n-1 degrees of freedom, is an unbiased estimator of the population variance.

Explanation / Answer

1. Discrete event simulation is time driven, that is time progresses in intervals of a fixed amount -- True 2. To record the amount of time that a queue contains 0-5 entities, 5-15 and 15-30 entities, a frequency module would be used with a frequency type of time -- True 3. The system state can only change when an event occurs, but it doesn't always change -- False 4. To achieve the most fundamental change in a distribution the location parameter(?) should be changed --True 5. A simulation model in which a manufacturing shift stops making parts at 4:00pm but doesn't cease its operations until all WIP (work in process) has cleared the system is an example of a steady state simulation -- True 6. Histograms and scatter diagrams are used to determine the independence of sample data -- False 7. Goodness of fit tests, such as X2, test the hypothesis that the collected sample data is an independent sample from a chosen distribution function. Rejecting the null hypothesis means that the chosen distribution does not adequately describe the sample data -- True 8. Sample variance, with n-1 degrees of freedom, is an unbiased estimator of the population variance -- True

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