STA 113 -- STATISTICS FOR ENGINEERS

Instructors:

Athanasios Kottas TAs: Ming Liao Enrique ter Horst Gomez
Lecture: Tu,Th 2:15-3:30 pm
Gross Chem, room 107 		Rec: Fr 2:20-3:10 pm
Old Chem, room 116 		Fr 1:10-2:00 pm
Old Chem, room 116
Off: 223B Old Chemistry Building 211B Old Chemistry Building 222 Old Chemistry Building
Tel: 684-8025 684-8088 684-8840
e-mail: thanos@stat.duke.edu liao@stat.duke.edu enrique@stat.duke.edu
OH: M,W 4:30-5:30 pm Th 4-6 pm M 4-6 pm

Text

Statistics for Engineering and the Sciences by Mendenhall and Sincich. Prentice Hall.

About the course: the course is an introduction to statistical reasoning, and includes a review of the necessary elements of probability theory. Applications in various branches of engineering will be stressed. Understanding of each of the topics relies on the material preceding it: it is important to master each topic as soon as it is covered.

Homework

Problem sets will be assigned weekly and will be due a week after they are assigned. Late homework will not be accepted. See the grading page for some details on the grading policy for homeworks.

We will ask you to work on homeworks in groups of 2-4 students each. See Group work rules for a few comments and rules about group work on the homeworks. Note that discussion and interpretation of your results is the most important part of homework problems (especially data analysis problems). MINITAB output (with brief comments) is not considered a complete homework and will not receive full credit.
Clearly indicate on top of the first page of each homework assignment:

  • Homework number
  • Name and section number for each group member
    Homeworks without this information will not be graded.

    Homework assignments

    Data sets from the textbook

    You can download the data files corresponding to the exercises in the text from here . (For example the file ex02_10.dat contains the data from exercise 2.10.)

    Grading

    Exams and homeworks will be weighted by the following percentages: For more details see the     grading page.

    Information for the third exam.

    Honor Code

    Cheating on exams, plagiarism on homeworks and projects, and other forms of academic dishonesty are violations of the Duke Honor Code and will be referred to the Duke Undergraduate Judicial Board.

    Computing

    In Peter Mueller's STA 113 homepage from previous semesters you will find a self-guided Introduction to using MINITAB for descriptive statistics and simple statistical analyses.
    Interested in a Statistics graduate program ?
    thanos@stat.duke.edu
    Last updated 4/12/01
    Go to the Duke Statistics home page