STA3302 Statistics for Researchers
| Subject | Cat-nbr | Term | Mode | Description | Units | Campus |
| STA | 3302 | 1, 2010 | ONC | Statistics for Researchers | 1 | Toowoomba |
|---|
| Academic group: | FOSCI |
| Academic org: | FOS003 |
| Student contribution band: | 6 |
| ASCED code: | 010103 |
Contents
REQUISITES
Pre-requisite: STA2300RATIONALE
This course is aimed at, but is not restricted to, students enrolled in or planning to enrol in honours or graduate studies involving project or research work of a quantitative nature. In particular it targets students in Business, Commerce, Sciences, Engineering and Education. The course introduces a range of statistical techniques suitable for application to the analysis of research data and relevant to understanding statistical analyses reported in research literature. The course also prepares students for studying more advanced statistical methods as available in courses such as STA8302 Advanced Statistical Methods.
SYNOPSIS
The course covers exploratory data analysis, data screening, parametric and nonparametric procedures, count data, measures of association and correlation, multiple regression and analysis of variance. A data-driven approach is adopted and extensive use made of computer software. Previous statistical knowledge to the level of STA2300 Data Analysis is assumed.
OBJECTIVES
On successful completion of this course students should be able to:
- 1.
- make appropriate use of one or more statistical computer packages;
- 2.
- select appropriate statistical tools to perform a range of exploratory and confirmatory analyses;
- 3.
- screen data as appropriate to justify various inferential procedures;
- 4.
- understand the differences between observational and experimental studies;
- 5.
- interpret results of analyses in non-technical language;
- 6.
- follow statistical arguments in reports, journal articles and presentations.
TOPICS
| Description | Weighting (%) | |
|---|---|---|
| 1. | Introduction to appropriate software. Creating, importing and exporting data files. File editing and manipulation. Data screening. Accuracy, missing values, data types, outliers, normality, linearity, homoscedasticity. Univariate and multivariate data. Transformations: suitability, implementation and interpretation. Exploratory Data Analysis. Appropriate graphical, tabular and numerical representation of data. |
20.00 |
| 2. | Introductory inference. Significance testing and estimation. P-values. Statistical versus practical significance. Parametric versus nonparametric procedures. |
15.00 |
| 3. | One and two-sample inference for location. Screening for assumptions. Robustness. Sample size determination. |
15.00 |
| 4. | Bivariate relationships, correlations, associations. Chi-square analyses. Goodness of fit. |
5.00 |
| 5. | Multiple regression. Analysis and interpretation. Modelling. Dummy variables. Residual analysis. Leverage. Influence. Multicollinearity. Selection methods. Robust methods. |
20.00 |
| 6. | One-way analysis of variance. Screening for assumptions. Regression modelling. Interpretation. Planned and unplanned comparisons. Robustness considerations. Kruskal-Wallis Test. |
15.00 |
| 7. | Multi-way analysis of variance. Interaction. Regression modelling. |
10.00 |
TEXT and MATERIALS required to be PURCHASED or accessed
ALL textbooks and materials are available for purchase from USQ BOOKSHOP (unless otherwise stated). Orders may be placed via secure internet, free fax 1800642453, phone 07 46312742 (within Australia), or mail. Overseas students should fax +61 7 46311743, or phone +61 7 46312742. For costs, further details, and internet ordering, use the 'Textbook Search' facility at http://bookshop.usq.edu.au click 'Semester', then enter your 'Course Code' (no spaces).
REFERENCE MATERIALS
Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.
STUDENT WORKLOAD REQUIREMENTS
| ACTIVITY | HOURS |
| Assessments | 20.00 |
| Examinations | 3.00 |
| Lectures | 26.00 |
| Private Study | 90.00 |
| Tutorials | 26.00 |
This version produced 7 Feb 2011.
