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ZUG3036 – Statistical Methods

Undergraduate – Module

Refer to the specific census and withdrawal dates for the semester(s) in which this module is offered.

Faculty

Business, Engineering and Technology

Offered

South Africa
On-campus block of classes

  • Semester 2, 2020 (Mainstream Programme)
  • Semester 2, 2021 (Extended Programme)

8 credits, NQF Level 7

Synopsis

In this module the students are being provided with mathematical knowledge required to perform statistical data gathering and analysis so that they can be able to understand operational and business systems that are often subjected to large variation and uncertainty.  Mathematical statistics provides the students with the ability to deal with the statistical concepts of data analysis, probability theory, stochastic modelling, statistical inference and regression analysis.

Outcomes

On completion of the module, students will be expected to be able to:

1Understand data representation and measures of variability
2Apply the concepts involved in probability theory
3Use mathematical statistics to solve sampled data
4Perform parametric tests non-parametric tests
5Perform calculations based on correlation analysis
6Perform calculations by using statistical inference
7Do linear regression analysis

Assessment

Coursework assessment: 30%
Examination: 70%

Workload requirements

This module introduces the students to mathematical statistics that will enable them to apply statistical theories and techniques to solve real-life problems that are subjected to variation and uncertainty with more focus being placed on the identification, formulation and solving of engineering related problems.There will be a combination of lectures that will include interactive elements, and class tests. All outcomes will be assessed by means class tests and a final examination.

Chief examiner(s)

TBA

Prohibitions

None

Prerequisites

Basic Mathematical Concepts

Co-requisites

None

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