NETLOGO RANDOM TRIAL

SAMPLE-SIZE - set the total number of integer values, beginning from 1, that can be randomly assigned to the messengers SwitchesīUMP-DOWN? - when set to 'on,' the columns in the view will all go down by one step to anticipate the columns reaching the top of the space. GO - runs the model with the current settings. SETUP - prepares the model for running with your sample-space parameter setting.

The mean value of the batch of messengers is plotted in a histogram. They go to a column according to their value and lay the brick at the top of that column.

NETLOGO RANDOM TRIAL

HOW IT WORKSĪt every trial (sampling), random values are assigned to as many 'messengers' as you choose. For more information about the ProbLab curriculum please refer to. The ProbLab curriculum is currently under development at the CCL. This model is a part of the ProbLab curriculum. Combinatorial analysis helps understand this relation. That is, the sample space does not change, but extreme values become more and more rare as the sample size increases. The larger the sample size, the smaller the variance of the distribution. The mean value from each batch of messenger is added to yet another histogram (at the bottom of the interface). (So a messenger with '5' will carry the brick to the top of the fifth column from the left.) The values are also added into a histogram (below the view). Random Basic Advanced explores the effect of sample size on the distribution of sample mean.Īt each run, a sample of random values is selected and displayed on 'messengers,' who each carry a brick to the top of a corresponding column in a bar chart. You can also Try running it in NetLogo Web If you download the NetLogo application, this model is included.

(back to the library) Random Basic Advanced It has not yet been tested and polished as thoroughly as our other models. Sample Models/Mathematics/Probability/ProbLab/Unverified NetLogo Models Library: Random Basic Advanced

Netlogo random