Lecturer 
Mrs. Kelly-Ann Dixon kellyann.dixon02@uwimona.edu.jm
Office: Rm 15 Office Hours (Monday 1-2, Wednesdays 5-6)
Course Description
This course is designed to present an in-depth treatment of the theory of statistical inferences beyond intermediate-level courses. Although considerable effort is spent on mathematical development, we will balance between theory and practice by introducing examples and exercises that are oriented towards applications. On completion of the course, students will have the knowledge and ability to formally set up a statistical problem and apply appropriate statistical tools to analyze real-world problems.
Course Objective
The main objectives of the course are as follows: (1) to provide students with a knowledge of formal theory of statistical inferences; (2) to assist students with developing abilities to formally apply statistical theories to real-world problems related to business and social sciences; and (3) to provide students with a solid statistical foundation for more advanced studies at the graduate level.
Prescribed Text
John E. Freund’s Mathematical Statistics with Applications, 7th edition (2004)
Course Assessment
Mid-semester exam – 40%
Final exam – 60%
In general, no makeup exams will be given without prior approval of the instructor
Course Outline
1. Distribution of function of random variables
2. Sampling distributions
3. Hypothesis testing
4. Statistical properties of estimators
5. Estimation methods
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