STA113 Spring 2005

STA113 Probability and Statistics in Engineering
Section 001, #2683
Spring 2005

Instructor:: I. H. Dinwoodie, 219 Old Chemistry Building
Office Hours:: M: 2:00-3:00; W: 2:00-3:00; Th: 2:00-3:00
Lecture:: Tu-Th 11:40-12:55, Social Sciences 139
Assistants: Eric, Huiyan, Ouyang
Discussion Hours:: Section 01, #2684: F 11:40-12:30, Teer 106 (Eric); Section 02, #2685: F 12:40-1:30, Teer 106 (Huiyan); Section 03, #2686: F 10:30-11:20, Teer 106 (Ouyang); TA schedule at the new SECC
Text:: Jay Devore, Probability and Statistics for Engineering and the Sciences, 6^th Ed. , Duxbury, ISBN 0-534-39933-9.
Final Exam:: Monday May 2, 2-5 P.M. (schedule) (answers); Terms for final: one 8.5x11 formula sheet allowed; calculator allowed but memory must be erased on TI-89 and up; no notes other than the formula sheet. Location: White 107 on East Campus, next to East building.
Midterm Exams:: Tuesday, February 22 (answers); Tuesday, March 29 (answers)
Prerequisites:: Math 103
Grading:: The final grade will be based on the final exam (20%), two midterm exams (20% each), lab score (15%) and computing assignments (25%).
Projects: Data sets Assignment 1 (pdf, answers) (due Friday February 4) Assignment 2 (pdf, answers) (due Friday March 11) Assignment 3 (pdf,answers) ) Format for Assignments Extra Credit(due April 26)
Friday Lab Session:: The lab session will involve some graded written work and a very short simulation session in Matlab.
Homework:: Problems will be discussed in the lab session and in the regular lecture and will be the basis for most exam and quiz problems. A calculator may be necessary for some exams and quizzes. Some limits will be placed on the type of calculator.
Documents: Sample percentiles Introduction to the Monte Carlo Method More on qqplots Normal Approximation to Binomial Poisson Approximation to Binomial Capture/Recapture Method of Population Size Estimation (Note: the formula for the mle of the population size N is the first integer below r*n/x (round down), where r is the number tagged red in the population, the recaptured sample has size n, and x is the number of reds in the recaptured sample. In this example we get 5*10/2=25). Here is a paper on a different application.) Introduction to ANOVA January 2005 Su Mo Tu We Th Fr Sa 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Ch1, first day of class Th, lab Fr in Teer 106 16 17 18 19 20 21 22 Ch12 23 24 25 26 27 28 29 Ch2 30 31 February 2005 Su Mo Tu We Th Fr Sa 1 2 3 4 5 Ch2, Ch3 6 7 8 9 10 11 12 Ch3 13 14 15 16 17 18 19 Ch3, Ch4 20 21 22 23 24 25 26 1st Exam Tu, Ch4 27 28 March 2005 Su Mo Tu We Th Fr Sa 1 2 3 4 5 Ch4 6 7 8 9 10 11 12 Ch4, Ch5 13 14 15 16 17 18 19 Spring Break 20 21 22 23 24 25 26 Ch5 27 28 29 30 31 2nd Exam Tu, Ch6 April 2005 Su Mo Tu We Th Fr Sa 1 2 3 4 5 6 7 8 9 Ch6, Ch7 10 11 12 13 14 15 16 Ch7, Ch8 17 18 19 20 21 22 23 Ch8, Ch9 24 25 26 27 28 29 30 Last day of class Tu, Ch9 May 2005 Su Mo Tu We Th Fr Sa 1 2 3 4 5 6 7 Final Monday 2-5 P.M. 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Possibly useful: A Probability Course at Stanford Spring 2004 Course Related Course Spring Semester in ECE: ECE 299 Discrete Event Simulation and Data Analysis last updated: May 3 2005