{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

ch4 - Chapter 4 Continous Random Variables and Probability...

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

Chapter 4: Continous Random Variables and Probability Distributions Bin Wang [email protected] Department of Mathematics and Statistics University of South Alabama Montgomery&Runger E4; first created on 08/15/08 Compiled on January 22, 2009by Dr. Bin WANG 1/27

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

View Full Document
4.1 Continuous Random Variables Definition (Continuous Random Variable) A random variable that can assume any value in one or more intervals. Montgomery&Runger E4; first created on 08/15/08 Compiled on January 22, 2009by Dr. Bin WANG 2/27
4.2 Probability Distributions and Probability Density Functions Definition (Probability density function (pdf)) For a continuous random variable X , a probability density function is a function such that f ( x i ) 0; R -∞ f ( x ) dx = 1; P ( a X b ) = R b a f ( x ) dx = area under f ( x ) from a to b for any a b . Montgomery&Runger E4; first created on 08/15/08 Compiled on January 22, 2009by Dr. Bin WANG 3/27

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

View Full Document
4.2 Probability Distributions and Probability Density Functions Definition (Probability density function (pdf)) For a continuous random variable X
This is the end of the preview. Sign up to access the rest of the document.
• Fall '11
• Staff
• Probability distribution, Probability theory, probability density function, Cumulative distribution function, Dr. Bin WANG

{[ snackBarMessage ]}

What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern