TEC2222

Statistical methods

C Varsavsky

4 points
* 26 lecture and tutorial hours
* Second semester
* Caulfield

Objectives To apply techniques of data analysis including both traditional and exploratory data analysis (EDA) approaches and to apply inferential techniques to confidence intervals, hypothesis testing, regression and correlation.

Synopsis Data analysis. Graphical methods of data presentation. Measures of central tendency and variation. Introduction to exploratory data analysis methods; stem and leaf plots, letter value displays, box plots. Comparison of different samples using traditional and EDA methods. Probability and probability distributions. Simple probability applications. Binomial distribution. Normal distribution. Central limit theorem. Estimation and inference. Confidence interval for the mean for large and small samples. Hypothesis tests on the mean for large and small samples. Hypothesis test on the binomial parameter p. Sign test. Regression and correlation. Scatter plots, sample regression equation. Confidence interval for the mean value of the dependent variable. Sample correlation coefficient and interpretation.

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

Recommended texts

Moore D S Introduction to the practice of statistics Freeman, 1993