Caution
Copyright © Monash University 1996
ISBN 1320-6222
Authorised by Academic Registrar, April 1996
The applied statistics course has been developed to meet the needs of students studying in various areas such as psychology, sociology, geography and environmental science and others in which skills in the quantitative analysis of data are required. The course emphasises practical applications and incorporates the use of statistical computing packages, eg SPSS, BMDP, Minitab etc, but no computing knowledge is assumed on the part of students prior to entry into first year.
First-year subjects, MAT1711 (Applied statistics 1A [Arts]) and MAT1722 (Applied statistics 1B [Arts]) provide a broad introduction to descriptive statistics, data analysis and statistical inference.
No mathematical prerequisite is required for entry into the subject MAT1711.
BA students wishing to undertake a major sequence in applied statistics (Arts) are required to complete an additional major sequence from subjects included in List A (I) in this handbook, with the exception of psychology. This requirement does not apply to Peninsula campus students. Students may, however, include any of the first and second-year-level applied statistics (Arts) subjects listed below in the compulsory ninety-two `Arts' points (subjects in List A(I) for the Arts degree.
+ MAT1722 Applied statistics IB (Arts)
+ MAT2740 Contemporary data analysis
+ MAT2751 Applied regression analysis I
+ MAT2761 Design and analysis of experiments I
+ MAT2762 Design and analysis of experiments II
+ MAT2763 Design and analysis of experiments III
+ MAT2770 Design and analysis of sample surveys
+ MAT2781 Applied multivariate data analysis I
+ MAT2790 Robust and nonparametric methods
+ MAT3730 Case studies in applied statistics
+ MAT3740 Contemporary data analysis
+ MAT3751 Applied regression analysis I
+ MAT3752 Applied regression analysis II
+ MAT3761 Design and analysis of experiments I
+ MAT3762 Design and analysis of experiments II
+ MAT3763 Design and analysis of experiments III
+ MAT3770 Design and analysis of sample surveys
+ MAT3782 Applied multivariate data analysis II
+ MAT3790 Robust and nonparametric methods