Lecture Notes Chapter 4

Lecture Notes Chapter 4 - MATH 1780: Introduction to...

Info iconThis preview shows pages 1–5. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: MATH 1780: Introduction to Probability Instructor: Jason Snyder Contents Continuous Random Variables and Their Probability Distributions Expected Values of Continuous Random variables The Uniform Distribution The Exponential Distribution The Gamma Distribution The Normal Distribution The Beta Distribution The Weibull Distribution Moment-Generating Functions for Continuous Random Variables Suppose an experimenter is measuring the life expectancy X of a transistor. In this case, X can take on an infinite number of possibilities. We can not assign a positive probability to each possible outcome of the experiment because, no matter how small we might make these probabilities, they would sum to a number greater than 1 when accumulated. Lets consider a specific example to try to understand what is going on here....
View Full Document

Page1 / 14

Lecture Notes Chapter 4 - MATH 1780: Introduction to...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online