A Sudbury
6 points - Three 1-hour lectures and one 1-hour laboratory per week - First/second semester - Clayton - Prohibitions: GAS1631, MAT1060, MAT1711, MAT1722, MAT1841
Objectives On the completion of this subject, students will be able to understand how data is collected and stored; show how to present data graphically; understand the meaning of population statistics such as mean, variance and median; distinguish between a population parameter and a sample statistic; determine confidence intervals for population statistics; understand the importance of a statistical test; determine which statistical test is appropriate; enter data into Minitab; analyse data in Minitab; know how to take a random sample; determine when data fits a statistical hypothesis.
Synopsis Descriptive statistics, scatter plots, correlation, line of best fit. Elementary probability theory. Confidence intervals and hypothesis tests using normal, t and binomial distributions. Use of Minitab.
Assessment Examination (3 hours): 70% - Assignments, laboratories and tests: 30%
Prescribed texts
Moore D S and McCabe G P Introduction to the practice of statistics 2nd edn, Freeman, 1993
Back to the 1999 Information Technology Handbooks