
The basic statistical concepts includes descriptive statistics such as measures of central tendency and dispersion, sampling distributions and the Central Limit Theorem; the binomial, normal, Student t, chi-square, and F distributions; and techniques of 1- and 2-sample tests, linear regression, correlation, an introduction to analysis of variance and selected nonparametric procedures. Appropriate statistical techniques are studied for the systematic collection, presentation, analysis and
interpretation of results, including surveys and quality control. The focus on understanding the techniques of statistical inference (confidence intervals and hypothesis testing) and interpreting results as found in articles and reports.