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JMP Start Statistics, 6th Edition by Sheila Loring, Ann Lehman, Mia L. Stephens, John Sall

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6 Simulations

Overview

A good way to learn how statistics measure and model a process is to first build an imaginary process and then see how well the statistics see it. Simulation is the word for building an imaginary process; Monte Carlo simulations are simulations done with a random number generator.

Simulations do not have to be complex programs or scripts. As you will see, they can be simple data tables that accrue information repeatedly.

Chapter Contents

Overview

Rolling Dice

Rolling Several Dice

Flipping Coins, Sampling Candy, or Drawing Marbles

Probability of Making a Triangle

Confidence Intervals

Data Table-Based Simulations

Other JMP Simulators

Exercises

Rolling Dice

A simple example of a Monte Carlo simulation from elementary probability ...

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