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