This course extends the probability and statistics material covered in MATH 2200 Introduction to Probability and Statistics and ONPS2700 Data for Scientific World. In the laboratory sessions, extensive use will be made of appropriate computer software for problem solving. Topics areas include: confidence intervals and hypothesis testing for proportions and the mean; review of sampling distributions; central limit theorem; two sample hypothesis test (z and t-tests); inference and confidence intervals for the difference between two populations' means and proportions; one way analysis of variance; goodness of fit test; simple linear regression and inference for regression; and basic non-parametric hypothesis tests and confidence intervals.

The course aims to provide the theoretical foundations of statistical analysis. It will focus on developing your abilities in critical analysis and decision making. The course is an introductory level course.