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.
LEARNING OUTCOMES:
At the end of the course, the 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.
- Teacher: Sampson Igbinoba