The description of a simulation should contain at least the following four aspects:
Definition of the probability tool
Statement of how the tool models the situation
How the results received from the tool apply to the probabilities in the situation
Definition of a trial
If a trial has a stopping condition, definition of how it works
Definition of a successful outcome of the trial
Statement of how the results will be tabulated giving an example of a successful outcome and a unsuccessful outcome
Statement of how many trials should be carried out
Statement of how the calculation needed for the conclusion will be done:
Long-run relative frequency = Number of ‘successful’ results
Number of trials
Mean = Sum of trial results
Number of trials
Interpretation of your results only being estimates
For merit: some assumptions that were made in this simulation.
A common assumption is that the probabilities throughout the simulation remain the same
For excellence: discussion of a number of assumptions that were made and how this assumption could have changed the results.
To simulate the 40 LOTTO balls in NZ use the calculator as follows
1 + 40 Ran# =, ignoring the decimals each time
To simulate a situation where there is a 14% chance of success use
1 + 100 Ran# =, ignoring the decimals each time
01 to 14 for success, and 15 to 100 for failure