Lecturer 
Mrs. Kelly-Ann Dixon kellyann.dixon02@uwimona.edu.jm
Office: Rm 15 Office Hours (Monday 1-2, Wednesdays 5-6)
Course Description
This module focuses on the theory and methods of making statistical inference based on nonparametric techniques.
Course Assessment
The final grade in this course will be based on:
Course Outline
1. Introduction (Conover, Section 2.5)
Definition of Nonparametric Statistics / Methods
Advantages and Disadvantages of using Nonparametric Methods
When to use Nonparametric Methods
Review of Hypothesis Testing
2. Test Based on the Binomial Distribution (Conover, Chapter 3)
Binomial Test and Estimation of p
The Quantile Test and Estimation of Xp
The Sign Test
Variations of the Sign Test
3. Tests Based on Contingency Tables (Conover, Chapter 4)
2 x 2 Contingency Tables
r x c Contingency Tables
The Median Test
Measures of Dependence
The Chi-Square Goodness-of-Fit Test
4. Tests Based on Ranks (Conover, Chapter 5)
Two Independent Samples (Mann-Whitney)
Several Independent Samples (Kruskal-Wallis)
Measure of Rank Correlation (Spearman)
One-Sample or Matched-Pairs Case (Wilcoxin)
5. Other Topics in Nonparametric Statistics
Prescribed Texts
Conover, W. J., Practical Nonparametric Statistics, John Wiley & Sons, 1999
Lindley D. V. and Scott W. F. New Cambridge Elementary Statistical Tables, Cambridge University Press
Additional Readings
Sprent, P. and Smeeton, N. C., Applied Nonparametric Statistical Methods, Chapman & Hall/CRC 2001
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