STAT 354:  Probability and Statistics for Engineers and Scientists II

 

Instructor: Dr. Richard Bolstein          When:    Spring 2001

Office:     157 ST 2                      Time:    W 4:30-7:10 p.m.

Email:      rbolstei@gmu.edu              Where:   ST 2, Room 128

Phone:      (703) 993-1689                Fax:     (703) 993-1689

 

Office Hours:  M, T 4:30-6:00 pm and by appointment. Call or email anytime.

 

Prerequisite: STAT 344 or MATH 351.

 

Text:  Jay L. Devore, Probability and Statistics, Duxbury Press, 5th edition.

 

Course Objectives: This is a second course in applied probability and statistics for engineers and scientists. Emphasis is on techniques that are useful in solving problems that commonly occur in areas of information technology, including computer science, electrical and computer engineering, information systems, operations research, statistics, and systems engineering.

 

Homework: Will be assigned weekly. You must work on your own unless otherwise instructed. This will count 20% towards the final grade. Work must be neatly written or typed. Use only one side of a page.

 

Exams: In-class Exams I and II will be 1.25 hours in length and count 20-25% each towards the Final Grade. The Final Exam counts 30-40% towards the final grade.

 

Approximate Schedule

Day   Topic                                              Reading

1/17  Review of Univariate Probability Distributions.             Chs. 2-4

1/24  Joint Probability Distributions.                            5.1-5.2

1/31  Statistics and their Distributions.                         5.3-5.5

2/7   Point Estimation.                                           Ch. 6

2/14  Confidence Intervals & Tests of Hypotheses.                 Chs. 7-8

2/21  Inferences Based on Two Samples.                            Ch. 9

2/28  Exam I on Chs 5-9. Single-Factor Analysis of Variance.      Ch. 10

3/7   Spring Recess

3/14  Multi-Factor Analysis of Variance.                          Ch. 11

3/21  Linear Regression.                                          Ch. 12

3/28  Multiple Regression.                                        13.4-13.5

4/4   Nonlinear Regression.                                       13.1-13.3

4/11  Exam II on Chs 10-13. Analysis of Categorical Data.         Ch. 14

4/18  Non-parametric Statistics.                                  Ch. 15

4/25  Quality Control Charts.                                     Ch. 16

5/2   Final Exam 4:30-7:15pm (cumulative).