3.13 Probability Concepts Deterministic and probabilistic models A deterministic model does not include elements of randomness. Every time you run the model with the same initial conditions you will get the same results. A probabilistic model does include elements of randomness. Every time you run the
model, you are likely to get different results, even with the same initial conditions. A deterministic model does not include elements of randomness. Every time you run the model with the same initial conditions you will get the same results. Most simple mathematical models of everyday situations are deterministic, for example, the height (h) in metres of an apple dropped from a hot air balloon at 300m could be modelled by h = - 5t2 + 300,
where t is the time in seconds since the apple was dropped. Simple statistical statements, which do not mention or consider variation, could be viewed as deterministic models. The linear regression equation in a bivariate analysis could be applied as a deterministic model if, for example, lean body mass = 0.8737(body weight) - 0.6627 is used to determine the lean body mass of an elite athlete. A probabilistic model includes elements of randomness. Every time you run the model, you are likely to get different results, even
with the same initial conditions. A probabilistic model is one which incorporates some aspect of random variation. Deterministic models and probabilistic models for the same situation can give very different results. Consider a very simple model of a cash machine. Customers arrive to use the machine every two minutes on average. Customers take 2 minutes to use the machine on average. What is the probability that a customer has to wait 3 minutes or more? A deterministic model of the situation just uses the average gap between customers and
the average time of usage, and assumes these have no variation, that is, all gaps are 2 min, and all usage times are 2 min. The model assumes that someone arrives exactly every two minutes and uses the machine for exactly two minutes, so there is never any waiting time. The distribution of waiting times is that all waiting times are zero minutes. The distribution of waiting times from the simulation is: Deterministic models can be relatively simple and can be used when random
variation is not a major influence on the situation being modelled (random variation is relatively small). If random variation is a major component of the context, a probabilistic model may be needed to fit the purpose. For instance, trains in Japan run on time, usually to within less than a minute of the scheduled time, so a deterministic model of expected travel time could be made using the scheduled train times. In the USA trains are often late, so a model incorporating the probability of delay could be useful.
Extend from WebTestPlugin class in Microsoft.VisualStudio.TestTools.WebTesting namespace of Microsoft.VisualStudio.QualityTools.WebTestFramework.dll. Override PreWebTest() or PostWebTest() Class . cannot . be in the same project as the web test. Downside: Can't access app.config values in the normal way
Use Sentences, Phrases, or Key Words (cont.) A key-word outline. Uses smallest possible units of understanding. Key-word or phrase outlines recommended. Encourage more eye contact with listeners. Provide greater freedom of movement. Offer better control of thoughts/actions
Learning Target: Habit 6 Synergize. Success Criteria: I can. work well in teams by listening, brainstorming ideas, and learning from each team member. understand the purpose of Veteran's Day and the meaning behind it. identify things/people I am thankful for.
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The maximum clearance fit is the difference between the largest hole (1.502 inches) and the smallest shaft (1.495 inches) or .007 inch. Determine the maximum shaft size of an interference fit by adding the allowance (.003 inch) to the basic...
Type Ms. Singh as the instructor name and then press the ENTER key. ... Click the synonym you want (appropriate) on the Synonyms submenu to replace the word, proper, in the document with the word, appropriate. Microsoft Office 2007: Introductory...
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