5.5.1 Universality of the Uniform (One spinner to rule them all). 5.3.4 Joint probability density fuctions. 5.3 Continuous random variables: Probability density functions. 5.2 Discrete random variables: Probability mass functions. 5.1 Do not confuse a random variable with its distribution. 4.11 One ring spinner to rule them all?. 4.9 Transformations of multiple random variables. 4.8 Nonlinear transformations of random variables. 4.7 Transformations of random variables: Linear rescaling. 4.4 Outcomes on a continuous scale: Uniform distributions. 4.3 Simulating from distributions: rolling dice yet again. 4.2 Non-equally likely outcomes: A weighted die. 3.6 A more interesting example: Matching problem. 3.5.3 Beware a false sense of precision. 3.5.2 Approximating multiple probabilities. 3.5 Approximating probabilities: Simulation margin of error. 3.4.11 Brief summary of Symbulate commands. 3.4.9 Transformations of random variables. 
3.4.8 Simulating outcomes and random variables. 3.4.7 Simulating multiple random variables. 3.4.4 Approximating probabilities and distributions. 3.4.3 A few commands for summarizing simulation output. 3.3.2 Averages of indicator random variables. 3.1 Tactile simulation: Boxes and spinners. 2.5 Distributions (a brief introduction). 2.4.2 Properties of probability measures. 
2.4.1 Some probability measures for a roll of a four-sided.2.3.4 Indicator random variables and counting.2.3.3 Transformations of random variables.
2.3.2 Events involving random variables.2.2.1 The collection of events of interest.1.7 Why study coins, dice, cards, and spinners?.1.6 Approximating probabilities - a brief introduction to simulation.1.4 Proportional reasoning and tables of counts.
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