Design and interpret a probability simulation

A target experiment selects one item from a finite population. The category counts are amber: 1, blue: 5, green: 4, with total 10

The selected item is returned before the next trial. Let \(E\) be the event that the outcome is not green

The target probability is \(\Pr(E)\) = \(\frac{3}{5}\)

The simulation used the following procedure

Use a container holding 40 equally likely numbered tokens

Map outcomes 1 to 4 to amber, outcomes 5 to 24 to blue and outcomes 25 to 40 to green

Reset the device before the next trial

Treat one complete selection as one trial

Run 1 recorded amber: 1, blue: 7, green: 7, giving 15 trials in total