Continuous Random Variable and Their Probability Distributions: Part II
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Continuous Data Models: Part II
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Some Common Continuous Random Variables
Text Reference: Introduction to Probability and Its Applica
Continuous Random Variable and Their Probability Distributions: Part III
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Continuous Random Variables: Part III
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Introduction
Text Reference: Introduction to Probability and Its Application, Chapter 5. Rea
Multivariate Probability Distributions: Part I
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Multivariate Probability Distributions: Part I
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Introduction
Text Reference: Introduction to Probability and Its Applications, Chapter 6. Reading Assignment:
Multivariate Probability Distributions: Part II
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Introduction
Text Reference: Introduction to Probability and Its Applications, Chapter 6. Reading Assignment
Multivariate Probability Distributions: Part III
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Multivariate Probability Distributions: Part III
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Introduction
Text Reference: Introduction to Probability and Its Applications, Chapter 6. Reading Assignme
Functions of Random Variables
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Functions of Random Variables
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Introduction
Text Reference: Introduction to Probability and Its Applications, Chapter 7. Reading Assignment: Sections 7.1-7.6, April 27
Often
SOME SAMPLE EXAMS PROBLEMS
Problem 1
Suppose the X and Y are jointly distributed according to the probability density function has the following form f (x, y ) = K x2 + 0, xy , if 0 < x < 1 and 0 < y < 2, 2 otherwise.
(a) Find the constant K . (b) Find th
STAT 3345 PROBABILITY MODELS FOR ENGINEERS SPRING 2010 SAMPLE MIDTERM 1 EXAM
Problem 1
A university librarian produced the following probability distribution of the number of times a student walks into the library over the period of a semester. x p(x) 0 .
STAT 3345 PROBABILITY MODELS FOR ENGINEERS SPRING 2010 SAMPLE MIDTERM 2 EXAM
Problem 1
The lifetime in hours of a certain kind of radio tube is a random variable having a probability density function given by 0 f (y ) = 100 y2 y < 100 if y > 100.
(a) Find
Middle East Technical University Electrical and Electronics Engineering Department EE230 Homework 5 Due : Apr. 28, 2006
1. Let the random variable x be uniformly distributed over (0,3) and the function be ~ defined as follows: , x0 0 x , 0 x 1 g (x ) = 1
MATH 11300
Problem Sheet 9
Probability
AUTUMN 2009
Questions marked * are to be handed in. *1. Let X be a continuous random variable taking values in the interval [3, 3], with probability density function (pdf) fX given by fX (x) = (9 x2 )/36 3 x 3 0 othe
SYLLABUS
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STAT 3345Q-01: PROBABILITY MODELS FOR ENGINEERS
Class Hour and Class Room
Class Hour: Tuesdays and Thursdays 11:00am - 12:30pm every week. (Saturday and Sunday: 4:30am-6:00am ) Class Room: CLAS 313.
Website for Stat STAT 3345Q-01
Continuous Random Variable and Their Probability Distributions: Part I
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Continuous Random Variables: Part I
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Introduction
Text Reference: Introduction to Probability and Its Application, Chapter 5. Reading
Discrete Random Variables and Their Probability Distribution: Part II
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Discrete Random Variable: Part II
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Introduction
Text Reference: Introduction to Probability and Its Application, Chapter 4. Reading As
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Continuous Random Variables
Exercises
Exercise 5.4 (p.220)
The weekly repair cost, X, for a certain machine has a probability density function given by cx(1 x), &0 x 1 f (x) = 0, otherwise with measurements in $100s. (a) Find the value of c that makes thi
Foundations of Probability: Part I
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Foundations of Probability: Part I
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Introduction
Text Reference: Introduction to Probability and Its Application, Chapter 2. Reading Assignment: Sections 2.1-2.3, Januar
Foundations of Probability: Part II
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Foundations of Probability: Part II
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Counting Rules
Text Reference: Introduction to Probability and Its Application, Chapter 2. Reading Assignment: Sections 2.4-2.5, Ja
Conditional Probability and Independence
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Conditional Probability and Independence
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Introduction
Text Reference: Introduction to Probability and Its Application, Chapter 2. Reading Assignment: Sections 3.1