Starting with the introduction of the probability distribution of one or two continuous random variables, basic concepts of mean, variance, covariance and correlation coefficient are covered. Description techniques discussed include stem-and-leaf plots, histograms, box plots, and probability plots. Confidence intervals for a single sample and for two samples are constructed on means and variances. The procedure of hypothesis testing is introduced conceptually followed by solving real-life biomedical problems. The design and performance of engineering experiments involving a single factor are discussed, where the analysis of variance is used to extract information from data. The course also shows how to determine situations where nonparametric procedures should be applied. Several nonparametric statistics are introduced.
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