Hours Per Week Hours per Semester Weighted Total Mark Weighted Exam Mark Weighted Continuous Assessment Credit Units LH PH TH CH WTM WEM WCM CU 3 0 3 45 100 60 40 3

Course Description

The course covers definition of statistical concepts, measures of location, measures of dispersion, presentation and summarization of data, probability distributions, sampling, tolerance and quality control.

Objectives/Aim

To enable the student understand and use advanced statistical and mathematical tools in the construction management process and research.

Course Outline

1.0 Definition of elementary statistical concepts [5 CH]

2.0 Measures of location [5 CH]

2.1 arithmetic mean,

2.2 median,

2.3 midpoint,

2.4 midrange.

3.0 Measures of dispersion [5 CH]

3.1  range,

3.2 variance,

3.3 standard deviation,

3.4 coefficient of variation,

3.5 standard error

4.0 Presentation and summarization of data 5 CH]

4.1 frequency,

4.2 histograms/bar charts

5.0 Probability,    [5 CH]

5.1 probability distributions,

5.2 normal (Gaussian) distributions,

5.3 exponential distributions,

5.4 gamma distributions,

5.5 beta distributions,

5.6 other distributions.

6.0 Samples and populations   [5 CH]

7.0 Tolerance and quality control. Confidence limits  [5 CH]

8.0 The chi square distribution: Inference, comparison of means.  [5 CH]

9.0 Method of least squares, regression, and correlation.  [5 CH]

Learning Outcomes

The student will be able to:

• Understand and use advanced mathematics and statistical principles in research and management of construction processes and projects.

Method of Teaching/Delivery

The course will be conducted through lectures, tutorials and assignments. Basic lecture materials provided by the Lecturer will be supplemented by individual reading effort by students.

Assessment Method

Continuous assessment through assignments and tests, and final written examination. The final examination carry 60% of the total mark, while continuous assessment will carry a total of 40%.