Enquiry for Science Major/Minor/Programme Requirements
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STAT3604 Design and analysis of experiments (6 credits) Academic Year 2025
Offering Department SCDS (Department of Statistics and Actuarial Science) Quota 23
Course Co-ordinator TBC, SCDS (Department of Statistics and Actuarial Science) < ugenq@hku.hk >
Teachers Involved
Course Objectives Scientific research often requires proper design and analysis of experiments. This course aims to introduce the basic principles of experimental design; to explain the concepts and to develop the statistical skills in model-based analysis of experiment.
Course Contents & Topics Basic principles and guidelines for designing experiments.  Analysis for experiments with a single factor, randomised block, crossed and nested factorial structure. Balanced incomplete factorial experiments. Latin squares and related designs. Fixed/random effects models.
Course Learning Outcomes
On successful completion of this course, students should be able to:

CLO 1 develop a conceptual understanding of experimental design
CLO 2 acquire the fundamental statistical tools of experimental design and the understanding to use them appropriately
CLO 3 select appropriate experimental designs for different problems
CLO 4 select appropriate statistical model and to know how to validate the model
Pre-requisites
(and Co-requisites and
Impermissible combinations)		 Pass in STAT2602 or STAT3611 or STAT3902
Only for students admitted in 2024-25 or before.
Course Status with Related Major/Minor /Professional Core 2U000C00 Course not offered under any Major/Minor/Professional core
2024 Major in Statistics ( Disciplinary Elective )
2024 Minor in Statistics ( Disciplinary Elective )
2023 Major in Statistics ( Disciplinary Elective )
2023 Minor in Statistics ( Disciplinary Elective )
2022 Major in Statistics ( Disciplinary Elective )
2022 Minor in Statistics ( Disciplinary Elective )
2021 Major in Statistics ( Disciplinary Elective )
2021 Minor in Statistics ( Disciplinary Elective )
Course to PLO Mapping 2024 Major in Statistics < PLO 1,2,4,5,6 >
2023 Major in Statistics < PLO 1,2,4,5,6 >
2022 Major in Statistics < PLO 1,2,4,5,6 >
2021 Major in Statistics < PLO 1,2,4,5,6 >
Offer in 2025 - 2026 N        Examination
Offer in 2026 - 2027 N
Course Grade A+ to F
Grade Descriptors
A Demonstrate thorough mastery at an advanced level of extensive knowledge and skills required for attaining all the course learning outcomes. Show strong analytical and critical abilities and logical thinking, with evidence of original thought, and ability to apply knowledge to a wide range of complex, familiar and unfamiliar situations. Apply highly effective organizational and presentational skills.
B Demonstrate substantial command of a broad range of knowledge and skills required for attaining at least most of the course learning outcomes. Show evidence of analytical and critical abilities and logical thinking, and ability to apply knowledge to familiar and some unfamiliar situations. Apply effective organizational and presentational skills.
C Demonstrate general but incomplete command of knowledge and skills required for attaining most of the course learning outcomes. Show evidence of some analytical and critical abilities and logical thinking, and ability to apply knowledge to most familiar situations. Apply moderately effective organizational and presentational skills.
D Demonstrate partial but limited command of knowledge and skills required for attaining some of the course learning outcomes. Show evidence of some coherent and logical thinking, but with limited analytical and critical abilities. Show limited ability to apply knowledge to solve problems. Apply limited or barely effective organizational and presentational skills.
Fail Demonstrate little or no evidence of command of knowledge and skills required for attaining the course learning outcomes. Lack of analytical and critical abilities, logical and coherent thinking. Show very little or no ability to apply knowledge to solve problems. Organization and presentational skills are minimally effective or ineffective.
Communication-intensive Course N
Course Type Lecture-based course
Course Teaching
& Learning Activities
Activities Details No. of Hours
Lectures 36.0
Tutorials 12.0
Reading / Self study 100.0
Assessment Methods
and Weighting
Methods Details Weighting in final
course grade (%)		 Assessment Methods
to CLO Mapping
Assignments Coursework (assignments, tutorials, and a class test) 25.0 1,2,3,4
Examination One 2-hour written examination 75.0 1,2,3,4
Required/recommended reading
and online materials		 D. C. Montgomery: Design and Analysis of Experiments (Wiley, 1997, 4th edition)
D. R. Cox: Planning of Experiments (Wiley, 1958)
A. L. Edwards: Experimental Design in Psychological Research (Harper & Row, 1985, 5th edition)
G. A. Ferguson & Y. Takane: Statistical Analysis in Psychology and Education (McGraw Hill, 1989, 6th edition)
C. R. Hicks & K. V. Turner Jr.: Fundamental Concepts in the Design of Experiments (Oxford, 1999, 5th edition)
P. W. M. John: Statistical Design and Analysis of Experiments (Macmillan, 1971)
R. L. Moson, R. F. Gungst, & J. L. Hess: Statistical Design and Analysis of Experiments (Wiley, 1989)
Course Website http://moodle.hku.hk
Additional Course Information NIL


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