Bio-statistics

This course covers the basic tools for the collection, analysis, and presentation of data in all areas of public health and The purpose of the course is to give students an introduction to the discipline, an appreciation of a statistical perspective on information arising from the health arena and basic critical appraisal skills to assess the quality of research evidence.

COURSE SYLLABUS

Introduction to Biostatistics.
Types of data and graphical representation.
 

Descriptive statistics: Measures of Central Tendency - mean, median, mode (Excluding stem plot percentiles).
Measures of dispersion - range, standard deviation, coefficient of variation. (Excluding stem plot percentiles).
 

Calculating Measures from an Ungrouped Frequency Table
(Excluding stem plot percentiles).
Basic probability. Conditional probability, Concept of independence, Sensitivity, Specificity.
 

Bayes Theorem for predictive probabilities.
Some discrete probability distributions: cumulative probability.
 

Binomial, and Poisson - their mean and variance (Excluding the use of binomial and Poisson tables).
Continuous probability distributions: Normal distribution.
 

Standard normal distribution and t distributions.
Sampling with and without replacement, sampling distribution of one and two sample means and one and two proportions. (Excluding sampling without replacement)
 

Statistical inference: Point and interval estimation, Type of errors, Concept of P-value. (Excluding Variances not equal)
Testing hypothesis about one and two samples means and proportions including paired data – different cases under normality. (Excluding Variances not equal)
 

 
Textbook
Foundations of Biostatistics, by M. Ataharul Islam and Abdullah Al-Shiha, Springer, 2018
 
Grading
 Midterm I:   30%       Midterm II: 30%         Final Exam:  40%