MATH 150Q SECTION 03: Quantitative Reasoning

MWF 10-10:50

COURSE WEBSITE NOW ON WEBCT:  webct.montana.edu

If you are having problems accessing webct or the files I put onto webct, please contact me ASAP!

A course in statistical literacy.

To find out more about this special section of Math 150, you must talk to Dr. Mark Greenwod.  I can be found in Wilson 2-228. 
This section differs from the other sections of Math 150 in most ways.  It has a different text and topics than the other sections of Math 150.  It will focus exclusively on statistics and "statistical literacy".  This course will satisfy the "M" Core requirement (up to 2002-2004 Course Bulletin) and the "Q" Core 2.0 requirement (2004-2006 Course Bulletin).  

We will discuss the interpretation of statistics as they are presented in a variety of media and explore the principles underlying statistical methods, with the ideas of the course made concrete through projects that involve data collection, analysis, and presentation.

While this course does share a few topics with Stat 216, it is NOT a preparation for Stat 216.  It is "statistics without the formulas" or "non-technical statistics".   It is a terminal course meaning that it is not intended to prepare you for any other, more advanced course Math or Statistics course.  It will, however, prepare you to better read and understand the statistics that you encounter.

We will use computing resources especially in the preparation of the presentations, so be prepared to learn about SPSS (or maybe Minitab - I'm still deciding on that!) and doing presentations using Powerpoint.

Note that we only have 1 exam and 2 group projects in this course.  The only exam occurs during the scheduled final exam time.

Click here to view a DRAFT syllabus (in pdf format).

Click here to view a demo project from a previous version of this course.  
I used it to illustrate the expected visual displays and other basic information expected on the first of the 2 projects.  The students projects were more interesting than this one.

The second project requires taking a random sample, performing inference for a relationship in a population of interest, and interpreting and presenting the results.  
These projects are why we will learn to use a Stat package.

Feel free to contact me if you have any other questions about this course!
(greenwood AT math.montana.edu or drop by Wilson 2-228)

Required text for the course:
Jessica Utts' Seeing through Statistics 3rd edition (2005)
Utts textbook cover
(But the CD and Infotrack materials are not required. I will expect you to have the 3rd edition.)

Link back to Mark Greenwood's home page

Website updated 1/1/2006

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