This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Uniformly Distributed Random Variables Discrete Random Variables These variables take discrete values, and no values in between. These are often summarized in table form. To find the expected value, multiply each possible value by its probability, and add all the resulting numbers. Useful fact to remember: Total probability of all possibilities must equal 1. Binomial Random Variables Binomial experiments meet the following criteria:There are n trials. This number is determined in advance.There are two possible outcomes for each trial, often called “success” and “failure.”The outcomes are independent from one trial to the next.The probability (p) of a success remains the same from one trial to the next. A binomial random variable is defined as X where X=# of successes in n trials of a binomial experiment....
View
Full Document
 Spring '10
 Gunderson
 Statistics, Probability, Probability theory, Binomial random variables

Click to edit the document details