| Area: |
Department of Mathematics and Statistics |
| Credits: |
12.5 |
| Contact Hours: |
3.0 |
| |
| ** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** |
| |
| Lecture: |
1 x 2 Hours Weekly |
| Tutorial: |
1 x 1 Hours Weekly |
| Prerequisite(s): |
7149 (v.7) Principles of Statistics 101 or any previous version
|
| |
| Syllabus: |
Use of Microsoft Excel in performing the following statistical procedures - exploratory data analysis, simulation of sampling distributions, test of hypotheses and confidence interval for mean, variance, inference for proportions, tests for independence and homogeneity, simple and multiple regression analysis. Integral transformation theorem and its use in simulation of random samples for different distributions. Goodness-of-fit tests for assessing appropriate models such as Binomial, Poisson, Exponential Normal, Lognormal and important life-time distributions. Introduction to Visual Basic Programming and its applications in statistical analysis. |
| |
| ** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** |
| |
| Field of Education: | 10103 Statistics |
| Funding Cluster: | 04 - Mathematics, Statistics |
| SOLT (Online) Definitions*: | Not Online
*Extent to which this unit or thesis utilises online information |
| Result Type: | Grade/Mark |
Availability |
| Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information. |
