The probability of a success can be calculated by counting the number of successes, and dividing by the number of trials.
For example, in Scenario 1, 50 trials of the simulation were conducted, and 13 were successes.
From this simulation, the probability of three or more children in a group of six all wanting to use the swings is 13/50 = 0.26 = 26%.
You should give the probability from your simulation in context. Don't just write "probability of success = 13/50 = 0.26".
If the Problem section also contains a median, this needs to be calculated as well.
Give the mean of all of the data from the table of trials, by adding the data and dividing by the number of trials.
For example, in Scenario 1, out of 50 trials (and so 300 children), there were 87 children who chose the swings. This is a mean of 87 / 50 = 1.74 children who want to use the swings (out of every group of six children).
Notice, again, this should be put in context.
If numerical data as been collected, then we can also discuss how the data is distributed. It might be left skewed (a long tail of values to the left of the mean) or right skewed (a long tail of values to the right of the mean).
For example, in Scenario 1, the frequencies of the number of children wanting to use the swings in the simulation are as shown. The mode (most common number) was 1; but sometimes as many as 5 children all wanted to use the swings.
If there are any other unusual features such as outliers or unusual events, make a note of it. If something in the scenario is so rare that it never happened in the simulation, or so common that it always happened, briefly discuss this.