DOC PREVIEW
USC BUAD 310 - Business Stat Lecture 3

This preview shows page 1 out of 3 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 3 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 3 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

Experiments and random variables can be grouped into families, where all random variables in family share a certain structure and particular random variable in a family is described by parameters.X = number of successes in n trials, X is a Binomial random variable with parameters (n,p)Permutations:Pk,n (number of combinations of size k from group of n objects) = n!(n-k)!order mattersCombinations:Ck,n = n!(n-k)! k!Order doesn’t matterPMF (probability mass function) – derivative of CDF (cumulative distributive function)CDF = sum of PMFsPoisson family of random variables – model for number of successes in experiment consisting of large number of independent trials with small probability of success for each trialEx: number of misprints in a bookBusiness Stat Lecture 3 01/26/2012Experiments and random variables can be grouped into families, where all random variables in family share a certain structure and particular random variable in a family is described by parameters.X = number of successes in n trials, X is a Binomial random variable with parameters (n,p)Permutations:-Pk,n (number of combinations of size k from group of n objects) = n! (n-k)!-order mattersCombinations:-Ck,n = n! (n-k)! k!-Order doesn’t matterPMF (probability mass function) – derivative of CDF (cumulative distributive function)CDF = sum of PMFsPoisson family of random variables – model for number of successes in experiment consisting of large number of independent trials with small probability of success for each trial-Ex: number of misprints in a


View Full Document

USC BUAD 310 - Business Stat Lecture 3

Download Business Stat Lecture 3
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Business Stat Lecture 3 and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Business Stat Lecture 3 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?