Biostatistics (MATH. 331(, Summer Semester 2011-2012
Instructor: Prof. Mohammad Al-Raqab
Office: Mathematics Dept., University of Jordan.
Class meeting times: Sun..-Thurs., 10:20-11:20 a.m.
Office hours: Sun., Tues., Thurs., 11:30 to 12:00 a.m.
This course is aimed at introducing the students to basic statistical procedures that are commonly used in the analysis of biostatistical problems. These statistical applications complement and reinforce biosciences concepts and methods, development and assessment of biological models, and interpretation of data and results. It includes numerical and graphical description of data, techniques for significance evaluation and models and relationships.
Educational Objectives: The students will be provided with the needed knowledge and skills for
· Be able to understand the statistical procedures used in various applications.
· Be able to discuss/compare the differences between the statistical procedures in analyzing various data sets.
· Be able to perform and conduct the computations using some statistical packages.
Biostatistics (9th Edition or later), 2010, by W. Daniel , John Wily and Sons.
Fundamentals of Biostatistics (7th Edition), 2010, by Bernard Rosner, Duxbury Press.
Course outline :
1. Introduction; what is statistics? Population and samples, types of statistical variables, experimental and observational studies, concept of randomization. (3 hours)
2. Description of data; frequency distribution, histograms, mean, median and mode, range, variance and standard deviation, inter-quartile range, percentiles. (3 hours).
3. Random variables and probability distributions; binomial, Poisson and normal distributions (5 hours)
4. Sampling distribution; distribution of sample mean and proportion. (4 hours)
5. Statistical inferences; point estimation, confidence intervals for means, variance and proportions in one population and two populations, basic concepts of hypothesis testing for means, variances and proportions in one population and two populations. (15 hours)
6. Chi-square and frequency Analysis. (4 hours)
7. Models and relationships; regression and correlation, estimation of model parameters, inference in multiple regression, prediction in multiple regression. (6 hours)
8. Analysis of variance; One-way and two-way. (5 hours).
Performance Evaluation: The course grade is tentatively determined as follows
Exam (Sun., July 1, 2012) 20%
Midterm (Sun., July 22, 2012) 30%
Final Exam (will be announced later) 50%