Chapter 2. Random Variables Study Notes contains 23 pages covering the following learning objectives:
* Describe and distinguish a probability mass function from a cumulative distribution function, and explain the relationship between these two.
* Understand and apply the concept of a mathematical expectation of a random variable.
* Describe the four common population moments.
* Explain the differences between a probability mass function and a probability density function.
* Characterize the quantile function and quantile-based estimators.
* Explain the effect of a linear transformation of a random variable on the mean, variance, standard deviation, skewness, kurtosis, median, and interquartile range.
After reviewing these notes, you will be able to apply what you learned with practice questions.
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