Leader: Dr Leo Brewin
Clayton Second semester 2005 (Day)
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%
Contact Hours: 24 lectures and 11 practice classes