308689 (v.1) Statistical Computing 103
| Area: | Department of Mathematics and Statistics |
|---|---|
| Credits: | 12.5 |
| Contact Hours: | 3.0 |
| Tuition Patterns: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
| Lecture: | 1 x 2 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Prerequisite(s): |
310532 (v.1)
Statistical Data Analysis 102
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, exponentialnormal, lognormal and important life-time distributions. Introduction to Visual Basic programming and its applications in statistical analysis. |
| Unit references, texts, outcomes and assessment details | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
| Field of Education: | 010103 Statistics |
| Result Type: | Grade/Mark |
Availability
No current availability exists. It may that this is planned for a future year or a decision has been made to not offer it currently. Contact the School or Area listed above for further information.
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