Enquiry for Science Major/Minor/Programme Requirements
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STAT1602 Business statistics (6 credits) Academic Year 2025
Offering Department SCDS (Department of Statistics and Actuarial Science) Quota ---
Course Co-ordinator TBC, SCDS (Department of Statistics and Actuarial Science) < ugenq@hku.hk >
Teachers Involved
Course Objectives The discipline of statistics is concerned with situations involving uncertainty and variability. Variability greatly affects the interpretation of data.  Thus statistics forms an important descriptive and analytical tool.  This elementary course, which is taught without much technical mathematics, presents many standard situations of data analysis and interpretation with emphases on business examples.  The statistical tests of these situations are presented.  Microsoft Excel might be used to carry out some statistical analysis.
Course Contents & Topics The course will introduce and discuss the following topics: Presentation of Data, Measures of Central Tendency, Measures of Variability and Uncertainty, Elementary Probability Rules and Basic Probability Distributions such as Binomial, Normal, Poisson, Hyper-geometric and Geometric, Random Sampling, the Normal Sampling Theorem, Point Estimation, Confidence Intervals and Sample Size Determination, Hypothesis Testing involving Inferences for Means and Proportions as well as the Chi-square tests, Simple Regression and Correlation, Elementary Time Series and Index Numbers
Course Learning Outcomes
On successful completion of this course, students should be able to:

CLO 1 understand the methods for describing sets of data
CLO 2 perform statistical analysis with calculator and Microsoft Excel, draw conclusions from data using numerical summaries
CLO 3 understand and apply basic concepts of probability
CLO 4 gain familiarity with the fundamental concepts of random variables
CLO 5 make inferences on a population based on sample data
CLO 6 determine the most appropriate statistical method to use for a given statistical problem
CLO 7 gain familiarity with the fundamental concepts of statistical inference as they apply to a variety of problems
CLO 8 understand the basic principles of simple linear regression and correlation and their applications to practical problems in today's society
Pre-requisites
(and Co-requisites and
Impermissible combinations)		 Not for students who have passed or already enrolled in any of the following courses: STAT1601, STAT2601, STAT1603, STAT2901 or ECON1280
(This course is available to students pursuing a major/minor in Business only, except students from Science or Engineering Faculty).
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
2022 Minor in Risk Management ( Disciplinary Elective )
2022 Minor in Statistics ( Disciplinary Elective )
2021 Minor in Risk Management ( Disciplinary Elective )
2021 Minor in Statistics ( Disciplinary Elective )
Course to PLO Mapping
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 1,2,3,4,5,6,7,8
Required/recommended reading
and online materials		 Gerald Keller: Managerial Statistics (Cengage Learning, 2009, 8th edition)
Freund, J. E. & Perles, B. M.: Modern Elementary Statistics (Prentice Hall, 2006, 12th ed.)
Berk, K.N. & Carey, P.: Data Analysis with Microsoft EXCEL (Duxbury press, Update Office 2007)
Bowerman, B.L. & O'Connell, E.S.: Business Statistics in Practice (McGraw-Hill International Edition, 2008, 5th ed.)
Course Website http://moodle.hku.hk
Additional Course Information NIL


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