Spring 2007



Statistics is the science---and art---of extracting data from the world around us and organizing, summarizing and analyzing it in order to draw conclusions or make predictions. This course provides a grounding in the principles and methods of statistics. Topics include: probability theory, collecting and describing data, hypothesis testing, correlation and regression, and analysis of variance. Students electing the four credit option will consider the use of statistics in their primary field of study and complete a more extensive final project (additional meeting time for these students will be required).

Course Structure

The course text is Bluman's \underline{Elementary Statistics}, 6th edition (McGraw-Hill 2007). In the three credit course, we will cover Chapters~1 to~10 and Chapter~12 (with minor omissions and additions to be announced as we go). Typically, there will be reading from this book and from various secondary sources each week. We will discuss these in class, along with illustrative examples of the techniques. It is important that you read the material {\em before} class, and come armed with questions about what you've read. We'll use Microsoft Excel to analyse data. This is available on the lab machines. No prior experience with Excel is necessary.


There will be eleven homework assignments through the semester (one per section), two in-class quizzes, a final project and a take-home final exam. These components will contribute 30%, 10%, 30% and 30% respectively to your grade. Attendance, participation and prompt submission of assignments are expected. Performance in these areas may alter your final grade by up to one full letter.


coming soon... courses/ spring2007/statistics/ syllabus
last modified Sunday January 28 2007 12:06 pm EST