Statistics for Public Health Practitioners
Have statistical knowledge to solve health research with descriptive and inferential statistical methods.
Distinguish between sample and population issues
Have SPSS skills to manage data, make statistical analysis and interpretation of statistical results in health research.
Weekly - Available soon
Total - 32
Theoretical and practical sessions of statistical concepts and case study in health with SPSS.
Evaluation made by an individual test and group work (if applicable) with correspondent weights 75%+25%.
Make a data structure in SPSS and practice of data management.
Descriptive statistics: frequency tables, graphs, central and dispersion measures.
Confidence intervals and hypothesis tests, Type I and type II errors, p-value
Chi-square test, t test, ANOVA, correlation analysis and introduction to logistic regression.
Programs where the course is taught: