Announcements|  Bring your textbook to the lectures Sept 27-Oct1 (last updated Sept 24)

Assignments (See Weekly-sheets)

Handouts  1. Practice hw for Aug 31 2. Practice hw for Sept 2 Weekly sheets

Syllabus

Data sets:   Canada-population

Instructor Office Hours: M, W, Th 1:15 – 2:15pm (or by appointment)

Useful documents

Introduction to Minitab 12

Interesting sites

1. Monty Hall Problem (conditional probability)

Supplementary material to Textbook: Elementary Statistics, 4th Edition

bookp1-10(p.1-10 of textbook) PDF Downloads NOTE: To see the above file you will have to download Adobe Acrobat Reader.

Simulation for sampling distribution (Rice University simulation lab)

Recitation :

Section 7   T Th 11:15-12:05        216 Thomas	Section 8   T Th 12:20-1:10       117 Thomas
Section 9   T Th 11:15-12:05        265 Williard	Section 10 T Th 12:20-1:10       265 Williard
Section 11 T Th 11:15-12:05        105 Wartik	Section 12 T Th 12:20-1:10        306 Boucke

TA Information:
 

Name	Email	Phone	Office Location	Office Hours
Mihaela Ugarcovici Sections 7,8	mih@stat.psu.edu	863-3374	333 Thomas	M 12:10-1:10 pm Th 10:00 -11:00am
Amy Burnicki Sections 9,10	acb@stat.psu.edu	863-2314	301 Thomas	M W 1:45-2:45pm
Bryan Crissinger Sections 11,12	bcrissin@psu.edu	863-2314	301 Thomas	M Th 2:30-3:30pm

Course Structure:
The course material is taught in the Monday, Wednesday, Friday lectures. The recitation sections on Tuesdays will consist of reviewing lecture subjects, discussion of homework problems. Thursday recitations will also include subject reviews and discussion of homework problems as well as exams. You are required to bring your textbook and a calculator that can take  square root  to all recitations. You are required to bring a calculator to all exams.
You are expected to attend all lectures and recitations. Each section will have a teaching assistant (TA) that will be responsible for the recitations, grading of quizzes and exams, etc.
 

Course Outline: The course will closely follow the textbook. However, some topics may be taught in a different style from the text and others may not be in the text at all. Therefore, attendance is strongly encouraged. Chapters 1-12 will be covered in-depth. Topics will be selected from Chapters 13 - 14. The course will highlight the following topics:

• Descriptive methods
• Basic probability concepts
• Binomial and normal distributions
• Sampling schemes (methods) and sampling distributions
• Inferential methods for univariate data (one, two, or more than two samples)
• Chi-square procedures
• Regression and correlation
• ANOVA (if time allows)