ASSIGNMENTS
Week 1 Assignment

Review Chapters 1 and 2 from the statistics online "e-book" at http://davidmlane.com/hyperstat/index.html .

  Complete problem sets PS1A and PS1B (use format as specified in syllabus).
   PS1A:  Determine which data points fall between +/- one standard deviation.
   PS1B:  Create a Normal Curve over data in EXCEL. Instructions on how to generate a graphical analysis of normality by overlaying a normal curve
              over data is shown.  Study the procedure and replicate it on Problem Set 1A.


Weeks 2 Assignment:  Exploratory Data Analysis (Graphical)

     Complete problems set PS2.  Construct plots of raw data for the variables, then develop plots of normalized data.  Plot all
     normalized variables on one graph.  Graphically analyze the data and draw conclusions.  Write a summary report using the format
     specified in the syllabus.



Week 3
     For the next 2 weeks we will be focusing on two major areas:  Analysis of  Variability and Hypothesis Testing of Means
     Between Groups.   It is important that you have a good grasp on the basic procedures covered to date before moving into
     D.O.E.  Therefore,  your assignments are as follows:

    
Work on the inclass problem and complete.  Calculate the appropriate "Z" or "T" STATISTIC, verify the appropriate
     critical value, verify the appropriate "p" value.  Write a summary conclusion for each of the methods.  (Note:  You do not
     have to complete a formal write up for this portion of the weekly assignment).

     Complete Problem Set 3.  Note:  Conduct a graphical analysis of each group to determine variability, then run the appropriate
     statistical analysis, determine your recommendation, and write your findings using the standard report format as specified in
     the syllabus.

Week 4

     Similarily Complete PS 4 using the same general approach follwed for Problem Set 3.

At the end of the 4th week you should have completed and documented four problems sets with accompanying and supporting charts and graphs.