Friday February 20, 12:00 - 1:00 PM.
Covers chapters 1 - 6, and sections 7.1 - 7.5.
To the exam you should bring
Something to write with: Pen or pencil.
Laptop with R or other statistical software installed.
All documents (physical and electronical) written prior to the start of the exam, are allowed.
During the exam you will not be allowed to communicate with anybody except the instructor (includes e-mail, chat etc.).
Project Guidelines
Collect data and perform a proper analysis of the data using techniques from the course, including regression and analysis of variance.
Choose a topic that interests you and formulate a few questions you would like to investigate.
Base your project on easily available data.
Data Acquisition and Project Design
Outline of plan for data acquisition and analysis methods.
Maximum 1 page.
Due Wednesday, April 15th in class.
Data Analysis
Analysis of data, with discussion of methods and conclusions.
Comparable in size and workload to one or two homeworks.
Due Friday, May 1st by 4 PM in the Math Office (Cupples I, room 100).
No late projects or designs will be accepted.
Goal
Show that you understand the material in the course, and how to apply it. In particular, when to apply which test, and which conclusions can be drawn from the results of the test.
* Give reasons for your choice of tests.
* State your hypotheses and conclusions clearly.
* Discuss your results in context of your study.
Format
Your project should be printed (or hand written), and stapled, with your name printed on the front page. If you have a small data set (1 or 2 pages) include it in your printout. If the data set is larger, describe the data set in your text, and send me a copy of the data set by e-mail.
The Final exam is a take home exam that is due Wednesday, May 6th by noon in the Math Office (Cupples I, room 100).
The Final Exam and data sets for Problem 3, Problem 8, and Problem 9 are available.
No late exams will be accepted.
The exam will cover all the material seen during the course, with emphasis on the material covered after the in-term exam.
You may use any material written prior to the publication of the exam (including on-line material). However, you may not receive any help from any person, neither face-to-face nor through "long-distance" communication (telephone, on-line etc.).
The exam will include machine readable data, and will test your ability to use a statistical software package (R, or any other package you prefer to use).