Biostatistics

At the end of the lectures in this course, students should be able to: 1. differentiate between continuous and discontinuous data; 2. explain sampling procedures in biology; 3. summarize and present biological data; 4. describe measures of central tendency and probability theory; and 5. conduct ANOVA, Chi-square, t-tests and F-tests and state their importance.

Variability in biological data: continuous and discontinuous variables. statistical sampling procedures. observations and problems of estimation. representation and summarization of biological data. frequency distribution. measures of central tendency and dispersion. Probability theory. normal, binomial and Poisson distribution. t-test, f-test and chi-square test. analysis of variance (ANOVA) and covariance. principles of experimental design. correlation, linear and curvilinear regression and transformation. 300 Level Courses to be taught at this level should include: Neuroembryology, Neuroanatomy, Neurohistology, Histochemistry, Human genetics, light microscopic techniques, Biostatistics and Entrepreneurship.