Simulations+and+Randomness

__**Key Concepts**__

 * Random:** An event is random if we know what outcomes could happen, but not which particular values did or will happen. All possible outcomes have an equal chance of being selected.
 * Random numbers:** Truly random numbers are hard to generate.
 * Simulation**: A mathematical model of a situation that uses a random sequence to specify event outcomes with relative frequencies similar to those of the real-world.
 * Outcome:** An individual result of a simulation.
 * Trial:** The sequence of events that we are simulating.
 * Components**: The situations that are repeated.
 * Simulation component**: A situation in a simulation in which something happens at random.

1. Identify the component to be repeated. 2. Explain how you will model the outcome. 3. Explain how you will stimulate the trial. 4. State clearly what the response variable is. 5. Run several trials. 6. Analyze the response variable. 7. State your conclusion.
 * Steps for making a simulation:**

The most effective ways to generate data and give a fair picture of the world rely on randomness.


 * What can go wrong:**
 * Don't overstate your case.
 * Model the outcome chances correctly.
 * Run enough trials.


 * How to run random simulations:**
 * 1) Flip a coin
 * 2) Random numbers table in the back of the book
 * 3) Calculator (Math, Prb, randInt(, enter and enter your range and the number of random numbers desired)