STATS 10 Chapter Notes - Chapter 6: Random Variable, Unimodality, Standard Deviation
Document Summary
Chapter 6: modeling random events - the normal & Probability model : a description of how a statistician thinks data are produced. Probability distribution function (pdf) : a tool that helps us keep track of all the. Continuous outcomes of a random experiment and their probabilities. A random variable is called discrete if the outcomes are values that can be listed or counted (integers) Ex. number of classes taken, the roll of a die, number of children in a family, number of internet-connected devices. A random variable is called continuous if the outcomes cannot be listed because they occur over a range. Ex. time to finish the exam, exact weight, length of left thumb, sodium concentration in the bloodstream. Table = most common way to display a pdf for discrete data always has 2 columns (or rows): 1st, x = displays all the possible outcomes. 2nd, p(x) = displays the probabilities for these outcomes.
