MTH 341 Probability Semester Fall 2011

Instructor: Karen E. Donnelly 

Her Homepage

Her Schedule 

Course Syllabus

Class Calendar

Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: Description: dice_01

 

 

Solutions to Problems in Text

 

Supplementary Problems (Some of which are assigned)

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

 

 

 

Tentative Exam Dates and Review Guides:

Test # 1: Mon.  September 19th  Review Guide  Practice Questions  Partial Answer Key

Test # 2: Wed.  Oct. 17th  Review Guide  Practice Questions

Test # 3: Wed.  Nov. 9th  Review Guide and Practice Questions  Partial Answer Key

Test #4: Mon. Dec. 5th  Review Guide and Practice Questions  Partial Answer Key

Final Exam: Wed. Dec 14th 10:00 a.m.  Review Guide

 

Lecture 1 (Sections 1.1, 1.2)  Power Point Slides (PDF)    Handout Notes  (PDF)

Lecture 2 (Section 1.3)  Power Point Slides (PDF)   Handout Notes (PDF)           

Lecture 3  (Section 1.4)  Power Point Slides (PDF)  Handout Notes(PDF)    

Lecture 4 (Section 1.5)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 5 (Section 1.6)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 6 (Section 2.1, 2.2)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 7 (Sections 2.3, 2.4)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 8 (Section 2.5)  Power Point Slides (PDF)   Handout Notes(PDF)

Lecture 9  (Section 2.6)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 10  (Section 2.7)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 11 (Section 3.1)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 12 (Section 3.2)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 13 (Section 3.3)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 14 (Section 3.4)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 15 (Section 3.5)  Power Point Slides (PDF)  Handout Notes (PDF)

Lecture 16 (Section 6.1)    The Bernoulli Process   Handout Notes (PDF)

Lecture 17  (Section 6.2)  The Poisson Process   Handout Notes (PDF)

Lecture 18 (Section 5.4)  Sum of Independent Random Variables -- CLT  Handout Notes (PDF)

Lecture 19 (Section 5.1, 5.2, 5.3)  Markov, Chebyshev inequalities and LLN Handout Notes (PDF)

Lecture 20 (Section 4.1 – Part of)  Derived Distributions  Handouts (PDF)

Lecture 21 (Section 4.2)  Covariance and Correlation  Handouts (PDF)

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