Biostastics

At the end of this course, students should be able to: 1. explain the scope for statistical methods in health science; 2. define the measures of location partition and dispersion; 3. explain the elements of probability, probability distribution; 4. describe the test for hypotheses concerning population means proportions and variances; 5. compute for regression and correlation as well as conduct some non-parametric tests reference to contingency table analysis; and 6. explain the elements of design of experiments and analysis of variance.

Aims, characteristics and application of biostatistics in clinical and preventive medicine. Statistical data in bio-medical science-samples, population, variables, frequency distribution, vital and descriptive statistics, measurement of central tendencies-mean, median, mode, dispersion and presentation of data probability distribution, Hypothetical tests of statistical significance. Analysis of variance. Regression and correlation. Experimental designs and clinical trials. 300 Level