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Instructor: Office/Telephone: Office Hours: URL for Web Site: |
William L. Harkness, Professor of Statistics 318 Thomas Building; Telephone: 865-1290; Email: wlh@stat.psu.edu 1:25-3:30 Monday and Wednesday; 9:05-10:00 Wednesday and Friday http://www.stat.psu.edu/~stat200/ |
This class meets formally three times weekly--(everyone) once a week from 1:25 to 2:15 in 101 Thomas--and twice a week in 214 Boucke--a computer lab. The session in 101 Thomas will be referred to as an LGM (Large Group Meeting); the two meetings in 214 Boucke will be called CSL1 and CSL2 (for Computer Studio Labs 1 and 2). There are 200 students registered for this class in three sections. Each section will have a Teaching Assistant (TA) and possibly an undergraduate intern. The three sections (with TA) meet in CSL's as follows:
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Section 7: Section 8: Section 9: |
Tuesday and Thursday , 8:00-8:50 Monday and Friday, 9:05-9:55 Monday and Friday, 10:10-11:00 |
TA: To be assigned TA: Miha Ugarcovici; mih@stat.psu.edu TA: Miha Ugarcovici; mih@stat.psu.edu and To be assigned |
Dr. Harkness will be at most (if not all) of the CSL's, along-with the TA.
Course Structure:
This will be a web-based course with hands-on practice, using the Minitab Statistical Software Package, in the CSL’s: no prior knowledge about Minitab is assumed. You will be expected to learn the basic conceptual concepts from the web-course (called Cysberstats) and the draft of a book by Heckard and Utts (see Course Materials below). Cyberstats contains about about 40 Units grouped into five broad categories: Collecting and Visualing Data, Modeling Random Behavior, Inference, Regression, and Design of Experiments--we will cover about 30 of these. Specific assignments of units for you to 'master' are given in the ‘Reading Assignments’ section later. About one week after the one in which the assigned readings are given there will be a Readiness Assessment Test. These RATs will be based on the reading assignments and will be conducted at the LGM on Wednesdays. There will be two parts to the RATs: (1) an individual score and (2) a group score.; the combined points for the RATs will count 25% of your grade. It is essential that you study the content on the web because of the RATs and to prepare yourself for the CSL's. There will be almost no lecturing on the part of the instructor in this class--there will be some overviews given, also on Wednesdays, and some comments at the beginning of CSL’s.
In the two weekly meetings in the computer studio labs in 214 Boucke, you will be working in pairs (dyads). You will be using Minitab, a statistical software package, to apply the concepts learned on the web (and the Heckard/Utts book). Handouts outlining the work to be done will be given out prior to each CSL. You will be asked to submit homework based on the work done in the lab—each member of the dyad will receive the same grade.
Course Materials:
Exams: There will be one mid-term and a final exam.
Homework: You will have two types of homework to turn in:
These assignments will be graded and returned to you..
Projects: It is anticipated that there will be three small projects, done in pairs of two. Details will be provided later.
Grading System: Stat 200 Spring Semester 2000
Possible Points
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160
40 80 200 48 40 160 72 800 |
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Grades:
A: 92% or higher; A-: 90-92%; for both grades, 85% or more on RATs and exams total B+: 88-90%; B: 82-88%; B-: 80-82%; at least 73% on for all three grades C+: 78-80%; C: 70-78%, at least 62.5% on RATs and exams total for both grades D: 60-70% and at least 40% of total for RATs and exams F: less than 60% of total points |
Example:
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164 198 45 190 72 669 |
Total percentage is 669/800 = 83.725; RATs + exam percentage is 75.4% (362/480=,754)
Course grade is 'B'
Web Site:
An extensive web site for this course is being developed. Most, if not all of course materials except for Cyberstats and the Heckard/Utts book draft, will be available on the web. Grades will be posted here, including RAT, exam, and homework scores. The URL for the site is http://www.stat.psu.edu/~stat200/
Problems? Email the Webmaster.
Copyright 2000 Pennsylvania State University- Department of Statistics
www.stat.psu.edu