Coordinators: Dr Aidan Sudbury (Clayton campus), Associate Professor Philip Rayment (Gippsland campus and distance education mode)
6 points
* Three 1-hour lectures and one 1-hour
tutorial per week
* First/second semester: Clayton
* Second semester:
Gippsland/Distance
* Prerequisites: At levels 3 and 4, VCE Mathematical
Methods
* Prohibitions: GAS1631, MAT1372, 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/tutorials 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 Science Handbook, 1998
Published by Monash University, Australia
Maintained by wwwdev@monash.edu.au
Approved by P Rodan, Faculty of Science
Copyright © Monash University 1997 - All Rights Reserved -
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