CONTENTS                                                   Lecture No 
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 * SYLLABUS AND INTRODUCTION                                    1     
								     
 * ONE SAMPLE PROBLEMS						     
								     
      Inference about population mean                          1,2    
      Inference about population variance                      3,4   
      Inference about population proportion                    4,5   
              Interpretation of confidence intervals		     
              Applications of CI				     
              Tests: small and large n				     
              An experiment (ESP)				     
      Graphical methods for checking normality                 5     
								     
 * TWO SAMPLE PROBLEMS						     
								     
    Normal theory						     
      Inference about two population means                     6,7   
              Independent samples				     
              Paired samples					     
              Test for the equality  of two variances		     
      Computer demo on SAS and Minitab                          6     
      Inference about two population  proportions               8     
								     
    Reviews and examples                                       8,9   
								     
    Nonparametric methods			     
       Wicoxon rank sum test                                   9,10  
       Sign test: 0.5 correction, small and large samples      10,11 
       Wicoxon signed rank test                                12    
   								     
    Summary and more review                                    12,13 
								     
 * TWO OR MORE SAMPLES PROBLEM					     
								     
       One-way ANOVA                                           13,14
       Graphical examination of assumptions and ANOVA models   14

 **** Review  ****                                             15

 **** Midterm Exam  ****                                       16

 **** Solutions to the Midterm Exam  and Beyond ****           17

       Randomized Block Design                                 17
       Multiple comparisons                                    18
       Other ANOVA models -- fixed and random effects          18

       Nonparametric techniques for 2 or more samples          19

 * Chisquare Tests                                             20

       Goodness of Fit tests                                   20,21
       Test of Independence                                    21

 **** Review and Group Work ****                               22

 * Regression                                                  23
       Scatter Plot
       Best linear fit: LSE
       Underlying linear models and assumptions
       Assessing the model (diagnostics)                       24
       Estimate of sigma^2
       Facts (distribution) about betahat and muhat(x):
          t-Tests, CI and 
          Prediction Intervals                                 25
       F-test and ANOVA table: another test for slope
       Coefficient of determination: R^2
       Correlation Coefficient: r
       Recap

       Regression Effect and "Money test"                      26
       Model corrections                                       27    

  *** Review ***                                               28