course
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.