STAT 109: Biostatistics

 
STAT 109 – Biostatistics

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%         Homework’s: 20%      Final Exam:  20%
 
Homework and exam policy
Collaboration on homework assignments is encouraged. You may consult outside reference materials, other students, the instructor, or anyone else. There is one restriction: you must write, type, or otherwise record your answers yourself, alone, so that your homework reflects your understanding. No late homework or make-up exams without prior approval; penalties may apply.