TEC2222

Statistical methods

(ENG)

Dr S Siems

4 points + 26 lectures and 13 practice classes + Second semester + Clayton

Synopsis: Data analysis. Graphical methods of data presentation. Measures of central tendency and variation. Introduction to exploratory data analysis methods. Comparison of different samples using traditional and EDA methods. Probability and probability distributions. Simple probability applications. Hypothesis tests on the mean for large and small samples. Hypothesis test on the binomial parameter p. Sign test. Regression and correlation. Linear programming: graphical techniques, simplex methods. Use of statistical software.

Assessment: Examination (2 hours): 70% + Assignments: 30%