Statistics 212 - Section 501, Fall Semester, 2006
PDF file of this Syllabus

Course Information

Time and Place: MWF 9:10am–10:00am, Blocker 150.
Instructor: Prof. Daren Cline, Blocker 459D, 845-1443.
e-mail: dcline@stat.tamu.edu
Office Hours: MWF 10:20am–11:30pm or by appointment.  (my schedule)
Course Web Page: http://stat.tamu.edu/~dcline/212.html
Grader: Rajesh Talluri, Blocker 406F, 845-5719.
e-mail: rtalluri@stat.tamu.edu.
office hours: TBA.
Text: J. L. Devore, Probability and Statistics for Engineering and the Sciences, 6th ed., Duxbury.
Notes and Handouts: You are also expected to download lecture notes and other handouts as they become available on the course web page.  You will be required to login; userid and password will be provided when the semester begins.
Computing: I will provide examples using both Minitab and SAS, also on the course web page.  You may use either statistical package for homework.  The computers in the Open Access Labs have both and Minitab comes with a new textbook at the campus bookstore.  You may also find out how to get Minitab (rental) and SAS (free) at Software Evaluation & Loan Library.
Prerequisite: Statistics 211 or equivalent (calculus based introduction to statistics).
Disabilities Help: The Americans with Disabilities Act ensures that students with disabilities have reasonable accommodation in their learning environment.  If you have a disability and need help, please contact me and Disability Services in B118 Cain Hall, 845-1637.
Academic Integrity: You are expected to maintain the highest integrity in your work for this class.  This includes not passing off anyone else's work as your own, even with their permission.   Please see the homework and exam policies below for specifics.
Copyright: All the resources I provide for this course are copyrighted and may not be copied or distributed without my express, written permission.

Grading

Homework: Homework is worth 20% of the term score.  None may be dropped.  It will be assigned on the course web page and collected regularly.  Late homework will not be accepted without an approved excuse.
Method and communication are as important in this course as are final solutions. Homework is to be detailed and clear, with all steps provided, on 8½×11 paper and stapled.  Computer output should be pasted into solutions as needed.
Please see the homework policy below.
Exams: There will be two midterm exams worth 22.5% each and a final exam worth 35%.  All exams are cumulative and closed book.  You will be allowed to bring statistical tables and one additional page (8½×11) of notes per exam.
Please see the exam policy below.
Exam Dates: Exam I: TBA.
Exam II: TBA.
Final Exam: Monday, 11 December 8:00am–10:00am.
Grading Scale: A: 85% - 100%
B: 75% - 85%
C: 60% - 75%
D: 50% - 60%

Homework, Exam and Makeup Policies

Homework Policy: Your homework solutions must be your own work, not from outside sources, consistent with the university rules on academic integrity.  I expect you to follow this policy scrupulously.  Your exam performance is much more likely to be better.
You may use:
  • Your textbook and notes from this class.
  • Your notes, homework, etc., from a related class that you took or are taking.
  • Discussion with the instructor or grader.
  • Voluntary, mutual and cooperative discussion with other students currently taking the class.
You may not use:
  • Solutions manuals (printed or electronic) and copies of pages from solutions manuals.
  • Solutions from previous classes.
  • Solutions, notes, homework, etc., from classes taught elsewhere or at another time.
  • Solutions, notes, homework, etc., from students who took the class previously.
  • Copying from students in this class, including expecting them to reveal their solutions in "discussion".
Exam Policy: Each exam will be comprehensive, cumulative and closed book. 
Acceptable resources are:
  • A calculator for numerical calculations only.
  • Statistical tables.  (Make your own copies. I have versions available on the class web page.)
  • One page (8½×11, both sides) of notes for the first exam, two pages for the second exam and four pages for the final exam.  These must be of your own construction, not copied from somewhere else.
No other resources are acceptable.
Practice exams will be available on the class web page. 
Missed Work and Incompletes: This is based on university policy.
  • If you must miss an exam due to illness or circumstances beyond your control, notify me or the Statistics Department before the exam.  See me immediately after you return (within one day) to schedule a make-up exam.
  • Incompletes will be given only in the event that circumstances beyond your control cause prolonged absence from class and the work cannot be made up.

Course Outline

Topic Chapter
Introduction
I. Estimating Distributions 1, 4, 8
  a. histogram, density plot, box-plot (review)    1.1-1.4, 4.1
  b. cumulative distribution, quantile plot (review)    4.2, 4.6
  c. hypothesis tests (review)    8.2, 8.4
II. Regression and Correlation 5, 12, 13
  a. correlation and conditional expectation (review)    5.1-5.2
  b. simple linear regression (review)    12.1-12.4
  c. inference for correlation    12.5
  d. checking for violations of assumptions    13.1
  e. polynomial and nonparametric regression, transformations    13.2-13.3
  f. multiple linear regression    13.4
  g. model selection and other issues    13.5
III. Design and Analysis of Experiments 10, 11, 15
  a. completely randomized design (review)    10.1
  b. multiple comparisons and contrasts (review)    10.2
  c. assumptions, transformations and Kruskal-Wallis test    10.3, 15.2, 15.4
  d. randomized block design, Friedman test    11.1, 15.4
  e. factorial experiments and interactions    11.2-11.4
  f. random and mixed effects models    10.3, 11.2
  g. general linear models, covariate analysis    
IV. Analysis of Categorical and Count Data 2, 3, 5, 8, 9, 13, 14
  a. one and two sample binomial procedures (review)    3.4, 3.6, 8.3, 9.4
  b. multinomial experiments    5.1, 14.1
  c. chi-squared goodness of fit test    14.1-14.2
  d. conditional probability, independence (review)    2.4-2.5
  e. contingency test, homogeneity test, McNemar test    14.3
  f. logistic regression    13.2
V. Methods for Percentiles 15
  a. sign test, tests for percentiles    15.1
  b. confidence intervals    15.3
  c. median regression