Course outline - BUEC 333, Summer 1999 - D. Maki

Description:  The topics covered will include hypothesis
testing, regression and correlation analysis, multiple
regression, time series and index numbers.

Required Texts:

     Paul Newbold, Statistics for Business and Economics,
     4th Ed., Prentice-Hall, 1995.

     Michael Middleton, Data Analysis Using Microsoft Excel,
     latest edition, Duxbury.

Grading:

          Midterm Examination     20%
          Final Examination       50%
          Project                 25%
          Tutorial                 5%

If the final examination grade is better than the midterm
grade (relative to the mean), the midterm grade will be
ignored and the final will count for 70%.  The midterm
will be multiple choice, the final will be a mixture of multiple choice and problem-type questions.

Course Requirements:  Problem sets will be assigned most
weeks.  Everyone is required to complete a project which
involves statistical analysis of data using techniques
covered in the course.  A four to five page summary report
will be turned in for grading, together with relevant
computer output.  The project and some of the weekly
assignments will involve use of the EXCEL computer program.

Tutorials will not meet during the first week of classes.
                    
Week #    Material            Assignment
          Covered             (Due the following week)
                    
1         Review, 9.1-        Ch.8 #13,19,28,57
          9.2                 Ch.9 #7
               
2         9.3-9.5             Ch.9 #11,15,17,19,23,27
                    
3         9.6-9.9             Ch.9 #29,33,37,47
                              Get lfpr.data from
                              my Web page and test
                              for difference in variance   
                              of FPR and MPR using EXCEL.
                              Hand in your EXCEL output.
                              
                    
4         9.9,                Ch.9 # 55,65
          10.1-10.5           Ch.10 #3,9,13            
                    
5         11.1-11.3           Ch.11 #5,9,11,13,33.
                    
6         12.1-12.3           NONE
                    
7         MIDTERM on the first class meeting this week.
          12.4-12.6           Ch.12 #3,11,15,19
                              Using lfpr.data
                              from my Web page, estimate a
                              least squares regression of
                              FPR on FURATE and MPR on
                              MURATE using EXCEL.
                              Hand in your EXCEL output.
                    
8         12.7-12.9           Ch.12 #27,31,35,53,63
          13.1-13.3
                              
9         13.4-13.6           Ch.13 #1,5,11,17
                              Using lfpr.data from my Web
                              page, estimate a least squares
                              regression of FPR on FURATE 
                              and WAGE using EXCEL.  Also
                              regress MPR on MURATE and
                              WAGE.  Hand in your EXCEL
					     output.
          
10        13.7-13.8           Ch.13 #29,33,50 (use EXCEL    
          14.1-14.3           on 50); Ch.14 #7,8
                              
11        14.4-14.8           WORK ON YOUR PROJECT
                    
12        17.1-17.6           Ch.17 #3,5,7,9,13
                    
13        17.7-17.10           Project Due Friday-          
                               NO EXTENSIONS