STAT 3201 Lecture Notes - Lecture 13: Frequency Distribution, Cumulative Distribution Function, Probability Distribution

• School: Ohio State University
• Department: Statistics
• Course: STAT 3201
• Professor: Kurtek Sebastian

Document Summary

Continuous random variables, distribution and density functions, percentiles and. Other examples: yield of an antibiotic in a fermentation process, length of life of a computer. Note: these two random variables can take values on the positive half of the real line. This does not mean that if we observe enough computers, we would eventually see an outcome corresponding to every possible value. Rather, this means that we cannot rule out any of the values as possible outcomes. Definition: cumulative distribution function for any random variable (discrete or continuous). The cumulative distribution function or cdf of y, denoted by f(y), is such that f(y)=p(y