Dr. H. Block's STAT 1211 (2210)

FALL 2006 (2071), TH 9:30 –10:45, 244A CL

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Last updated August 28, 2006
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Office hours and contact information

Office hours: T : 11:00-11:45, H: 11:00-11:45,1:30-2:15, others by appointment

Office: 2703 CL

Phone: 624-8369

Email: hwb@stat.pitt.edu

Grader (email): Josephine Asafu-Adjei (jka7@pitt.edu)

Office hours: Tuesdays and Thursday 2:30-3:45

Stat Lab (435 CL) Schedule: M-H  9AM -7PM,  F  9AM-3PM

Final Exam: Saturday, December 16, 8:00- 9:50 AM 12 Noon-1:50 PM. Note this change.

Final WeekOffice Hours (December 11-15):

Monday 10:00-12:00 Noon (Block)

Tuesday 11:00-1:00 PM (Block)

Dr. Block will be out of town on Wednesday, Thursday and Friday.

Thursday 12::00-2:00PM (Asafu-Adjei)

Friday 12:00-2:00 PM (Asafu-Adjei)

Textbook: Alan Agresti, AnIntroduction to Categorical Data Analysis (1996), John Wiley & Sons,Inc., New York

Supplementary Textbook: Alan Agresti, CategoricalData Analysis, Second Edition ( 2002), John Wiley& Sons. This is an advanced version of the course textbook.

Course Content and Prerequisites:  This is an introductory course in categoricalresponse data. Topics covered will be 2- and 3-way contingency tables, logisticregression and loglinear regression. Software usedwill be MINITAB for the first few assignments and then SAS. The prerequisite isan introductory course in applied statistics using MINITAB or some otherintroductory statistical package. The two most important topics which studentsshould have obtained in such a course are an introduction to linear regressionand chi-square contingency tables. STAT 1000 (and to a lesser extent STAT 0200)fulfills all these requirements.

Course Requirements:

Assignments (10) (mostly usingMINITAB and SAS) 30%

Exams (2):                                                                    40%

Final Exam                                                                   30%

Total            100%

Assignments:

Number   DateDue   Assignment
#1            9/7         1.1, 1.2, 1.3 (Use acalculator first and then MINITAB to obtain answer),
                                   1.4 (Find the probability of at least 50 using MINITAB), 1.7, 1.8
    #2            9/14       2.2, 2.3, 2.4, 2.5, 2.8
    #3            9/21       2.10, 2.11, 2.15
    #4            9/28       2.25, 2.26(Grad students only), 3.1,3.2, 3.5, 3.8
    #5            10/5        Redo problems2.25 and 3.8 using SAS, 4.2
    #6           10/19     1)For the grouped crab data (Table 4.3) calculateX² and G² without using software.
                                   Hint: For X² can use the Pearson residuals of Table 4.3.
                                   2) Use the Poisson log linear model with rate t where t=number of cases to doExercise 4.5.
                                   Do all of the analyses we did for the  groupedcrab data.

Graduate students only: write a SAS program for a rate model for thegrouped data discussed in the next to last paragraph on p. 87.

                        You will need to usethe complete data set and also obtain the number of satellites for eachdistinct crab width. The parameter estimates

shouldbe the same as for the complete data set.
    #7           10/26      5.1, 5.2, 5.4, 5.7 (Use SAS for all ofthese)
    #8           11/2      5.13, 5.14, 5.15 (Use SAS)
    #9           11/9      5.22(Undergrads omit c), graduate students do c)), 5.23ab, 5.24
  #10           11/30      6.1, 6.4, 6.6