Prof. Dave Goldsman

ISyE 3770 - Probability and Statistics


Syllabus (updated 9/15/09)

Homework 1 solutions

Homework 2 solutions

Homework 3 solutions

Homework 4 solutions

Homework 5 solutions

Homework 6 solutions

Homework 7 solutions

Homework 8 solutions

Homework 9 solutions

Homework 10 (due Weds 12/02/09)

 

Test 1a Solutions (Fall 2009)

Test 1b Solutions (Fall 2009)

Test 1c Solutions (Fall 2009)

Test 1 Solutions (Fall 2008)

Test 1 Solutions (Fall 2007)

Test 1 Solutions (all versions) (Spring 2007)

Test 2 Solutions (Fall 2009)

Test 2b Solutions (Fall 2009)

Test 2 Solutions (Fall 2008)

Practice Test 2 Solutions (Fall 2007)

Test 2 Solutions (Fall 2007)

Test 2a Solutions (Spring 2007)

Test 2b Solutions (Spring 2007)

Test 3 Solutions (Fall 2008)

Test 3 Solutions (Fall 2007)

Test 3x Solutions (Spring 2007)

Test 4 Solutions (Fall 2007)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Chapter 1, Modules 1-9 - Intro to Probability

Chapter 2, Module 10 - Intro to RV's

Chapter 2, Module 11 - Discrete RV's

Chapter 2, Module 12 - Continuous RV's

Chapter 2, Module 13 - Cumulative Distrn Fns

Chapter 2, Module 14 - Mean and Variance

Chapter 2, Module 15 - Functions of RV's

Chapter 2, Module 16 - Bivariate RV's

Chapter 2, Module 17 - Conditional Distrns

Chapter 2, Bonus Module - Conditional Expectation

Chapter 2, Module 18 - Independent and Correlated RV's

Chapter 2, Module 19 - MGF's

Chapter 3, Module 20 - Binomial RV's

Chapter 3, Module 21 - Geometric RV's

Chapter 3, Module 22 - Poisson RV's

Chapter 4, Module 23 - Exponential RV's

Chapter 4, Module 24 - Other Cts RV's

Chapter 5, Module 25 - Normal Distrn

Chapter 5, Module 26 - Normal Probabilities

Chapter 5, Module 27 - Central Limit Theorem

Chapter 5, Module 28 - Bivariate Normal Distrn

Chapter 6, Module 29 - Descriptive Statistics

Chapter 7, Module 30 - Unbiased Estimation

Chapter 7, Module 31 - Maximum Likelihood Estrs

Chapter 7, Module 32 - Sampling Distributions

Chapter 8, Module 33 - Mean CI's (Known Var)

Chapter 8, Module 34 - Mean CI's (Unknown Var)

Chapter 8, Module 35 - Other CI's

Chapter 9, Module 36 - Hypothesis Tests

Chapter 9, Module 37 - Mean Tests (Known Var)

Chapter 9, Module 38 - Mean Tests (Unknown Var)

Chapter 9, Module 39 - Other Hyp Tests

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


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