Math 203_Lecture 6

# Math 203_Lecture 6 - Principles of Statistics 1 Lecture 6:...

This preview shows pages 1–13. Sign up to view the full content.

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

View Full Document

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

View Full Document

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

View Full Document

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

View Full Document

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

View Full Document

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

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Principles of Statistics 1 Lecture 6: Math 203 Abbas Khalili Department of Mathematics and Statistics McGill University May 10, 2011 Principles of Statistics 1 Lecture 6: Math 203 p. 1/3 3 Family of distributions Some of the discrete probability distributions are used so often that we give them certain names. Principles of Statistics 1 Lecture 6: Math 203 p. 2/3 3 Family of distributions Some of the discrete probability distributions are used so often that we give them certain names. Today we will learn about: Principles of Statistics 1 Lecture 6: Math 203 p. 2/3 3 Family of distributions Some of the discrete probability distributions are used so often that we give them certain names. Today we will learn about: Bernoulli distribution Principles of Statistics 1 Lecture 6: Math 203 p. 2/3 3 Family of distributions Some of the discrete probability distributions are used so often that we give them certain names. Today we will learn about: Bernoulli distribution Binomial distribution . Principles of Statistics 1 Lecture 6: Math 203 p. 2/3 3 Family of distributions Some of the discrete probability distributions are used so often that we give them certain names. Today we will learn about: Bernoulli distribution Binomial distribution . Before introducing the above distributions, we need to know about Bernoulli experiment . Principles of Statistics 1 Lecture 6: Math 203 p. 2/3 3 Bernoulli experiment It is a random experiment that has only two possible outcomes: success or failure . Principles of Statistics 1 Lecture 6: Math 203 p. 3/3 3 Bernoulli experiment It is a random experiment that has only two possible outcomes: success or failure . The sample space of such experiment is then S = { success , failure } Principles of Statistics 1 Lecture 6: Math 203 p. 3/3 3 Bernoulli experiment It is a random experiment that has only two possible outcomes: success or failure . The sample space of such experiment is then S = { success , failure } Examples: female or male, life or death, nondefective or defective, absence or presence, cancer or non-cancer. Principles of Statistics 1 Lecture 6: Math 203 p. 3/3 3 Bernoulli random variable Corresponding to a Bernoulli experiment, we define the Bernoulli random variable X that takes two values , 1 corresponding to the two outcomes failure and success . Principles of Statistics 1 Lecture 6: Math 203 p. 4/3 3 Bernoulli random variable Corresponding to a Bernoulli experiment, we define the Bernoulli random variable X that takes two values , 1 corresponding to the two outcomes failure and success . That is X ( failure ) = 0 , X ( success ) = 1 . Principles of Statistics 1 Lecture 6: Math 203 p. 4/3 3 Bernoulli random variable Corresponding to a Bernoulli experiment, we define the Bernoulli random variable X that takes two values , 1 corresponding to the two outcomes failure and success ....
View Full Document

## This note was uploaded on 07/15/2011 for the course MATH 203 taught by Professor Dr.josecorrea during the Summer '08 term at McGill.

### Page1 / 114

Math 203_Lecture 6 - Principles of Statistics 1 Lecture 6:...

This preview shows document pages 1 - 13. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online