Rebhi Bsharat
- Nature of Work
- Academic
- Profession
- Assistant Professor
- Email Address
- [email protected]
- Office Phone
- (+970) 9 2345113 Ext. 2300
Rebhi Bsharat
- Nature of Work
- Academic
- Profession
- Assistant Professor
- Email Address
- [email protected]
- Office Phone
- (+970) 9 2345113 Ext. 2300
Biostatistics - 10216235
- Course Title
- Biostatistics
- Course Number
- 10216235
- Instructor Name
- Rebhi Bsharat
- Contact Information
- [email protected]
- Semester(s) and academic year(s)
-
Summer Semester 1
Second Semester 1
First Semester 1 - Compulsory / Elective
- Compulsory
Course Description
- Data description, frequency and cumulative frequency tables, frequency histogram and polygon, measures of central tendency and measures of variability, percentiles, quartiles and identifying outliers and constructing a box-plot diagram.
- Probability: sample space, events, mutually exclusive events, intersection, union and complement of events. Equally likely outcomes, probability axioms, probability rules, conditional probability and independent events. Total probability rule and Bayes’ theorem.
- Discrete and continuous random variables, p.d.f, p.m.f, binomial and normal distributions.
- Sampling distributions of the sample mean and sample proportion, central limit theorem.
- Point and interval estimations for the mean and the proportion of one and two populations.
- Hypotheses testing about the mean and the proportion for one and two populations. How to use statistical packages to make inferences about two population parameters.
- One way analysis of variance (ANOVA).
- Chi-square test for independence.
Course Objectives
- Ability to describe the characteristics of the population and the sample
- Ability to construct and apply the distribution functions.
- Ability to make inferences (confidence intervals and hypothesis testing) for one and two population means and for one and two population proportions.
- Ability to apply the Chi-square test for independence.
- Ability to apply the ANOVA
- Ability to apply simple linear regression.
Intended learning Outcomes and Competences
- Ability to describe the characteristics of the population and the sample
- Ability to construct and apply the distribution functions
- Ability to make inferences (confidence intervals and hypothesis testing) for the mean and proportion
- Ability to understand and apply the ANOVA and some other techniques
Textbook and References
Biostatistics. Daniel, W. W. 10th Edition.
Elementary Statistics, A Step by Step Approach, Bluman, 8th Edition.
Assessment Criteria
| Activity | Percent (%) |
|---|---|
| Assignments | 10% |
| Exams | 40% |
| Final | 50% |