Statistics is the concept of population and sample. Descriptive statistics. Frequency distributions, graphical representation of distributions, measures of skew-ness and kurtosis. Categorical data and proportion data.
Introduction to probability. Laws and properties of probability. Normal, binomial and Poisson distributions. Chi square test and test for goodness of fit.
The theory of estimation , standard errors and confidence intervals; Hypothesis testing, the concepts of null hypothesis, significance level, type I and II errors, one- tailed and two-tailed tests, comparison of two sample means, t-tests, analysis of variance(ANOVA), regression and correlation analysis.
Introduction to multivariate analysis, multiple regression analysis.
Study design, experimental design. Sampling and sample size determination.
Non-parametric statistics and tests.
Dr. Gerald M. Muchemi
BVM, (UoN), M.Sc. (University of Guelph, Canada) and a Ph.D. (University of Liverpool, UK
|Dr. Muchemi teaches Biostatistics, Epidemiology and Wildlife Medicine to Diploma, Undergraduate and Postgraduate students. He continues to conduct research and supervise both MSc and PhD students. View Dr. Muchemi's profile|
|Teaching and Technical Staff|
Dr. Joshua Orungo
BVM, MVEE (UoN), PhD ongoing at University of London
|Dr. Onono's areas of specialization include Veterinary Epidemiology and Economics. View Dr. Onono's profile|
Mrs. Dorcas W. Nduati
Dip, HND, BPHIL (Applied Statistics) - Technical University of Kenya (TUK)
|Dorcas is in charge of computer laboratory. She is also interested in research, data analysis and assists undergraduate and postgraduate students in Biostatistics practicals. View Dorcas profile|
|Biostatistics||Click to view|