The applied statistics course has been developed to meet the needs of students studying in various areas such as psychology, sociology, 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.
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. Students may, however, include any of the first and second-year-level applied statistics (Arts) subjects listed below in the compulsory 92 `Arts' points (subjects in List A(I) for the Arts degree.
Minor sequence
A minor sequence in applied statistics (Arts) consists of the first-year subjects MAT1711 and MAT1722 plus sixteen points (four) of the year-level subjects listed below.
Major sequence
A major sequence in applied statistics (Arts) consists of a minor sequence as outlined above plus an additional sixteen points of third-year-level subjects, as well as a further eight points of applied statistics (Arts) subjects at either second or third-year level.
First year
* MAT1711 Applied statistics IA (Arts)
* MAT1722 Applied statistics IB (Arts)
Second year
* MAT2711 Computer aided statistical analysis
* 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
Third year
* MAT3720 Probabilistic models and statistical inference
* 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