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City University of Hong Kong · Course

GE2262Business Statistics

2026/27 · Undergraduate

Course code
GE2262
Credit units
3
Academic unit
Department of Decision Analytics and Operations
Readable study materials
21 items

Course overview and requirements

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2026/27 · Official catalogue edition

The effective term printed in this PDF is Semester A 2025/26。

This outline is still being checked. Before registering, confirm entry and assessment requirements against the official document linked below.

Offering details for 2026/27 have not been checked. Confirm available sections in AIMS before registering.

The PDF Effective Term is separate from the 2026/27 catalogue year and current offering observation.

What you will study

Course overview
With today’s widespread use of statistics in the media, academic and business firms, this course aims to provide students with a good understanding of basic statistical concepts so as to facilitate their decision making. The course content is based on real-world examples and cases to encourage students to develop their attitude and ability to discover and innovate.

Official PDF, page 2 · Abstract

Course content
Presenting Data and Descriptive Statistics Types of data. Organizing and visualizing data. Descriptive statistics including measures of central tendency, variation and shape. Basic Probability and Probability Distributions Probability distribution for a discrete random variable. Binomial distribution. Normal distribution. Sampling distributions of mean and proportion. Central limit theorem. Statistical Inference Estimation of population parameters - the mean and proportion. Confidence interval estimation. Statistical hypotheses. Type I and Type II errors. The significance level and rejection region. The p-value. Testing hypotheses about the mean and proportion. Determining sample size. Simple Linear Regression Scatterplots. Measuring correlation. Simple linear regression model. Least squares estimated of parameters. Measures of variation. Inference about regression parameters. Prediction of new observations.

Official PDF, page 5 · Keyword Syllabus

Intended learning outcomes
View official learning outcomes and conditions
CILOs                                               Weighting (if DEC-A1        DEC-A2          DEC-A3
                                                                    app.)
1               Explain concepts in numerical descriptive           35                           x
                measures, sampling distributions, confidence
                interval estimation, hypothesis testing, and
                simple linear regression model.
2               Select appropriate statistical methods to analyse 35                             x
                real-life business data.
3               Interpret the statistical results and give          10                x          x
                recommendations for business decisions.
4               Apply standard statistical software, such as        20                           x
                Microsoft Excel, to analyse data arising from
                real-life business problems.

Official PDF, page 2 · Course Intended Learning Outcomes (CILOs)

Before you take this course

Check prerequisites, precursors and corequisites separately, together with equivalence and exclusion conditions. “and” means conditions must be met together; “or” marks alternatives. Read combined conditions in the groupings shown in the original text below.

Prerequisites
Nil

Official PDF, page 1 · Prerequisites

Precursors
Nil

Official PDF, page 1 · Precursors

Corequisites
This edition of the official syllabus does not state this item.
Additional course requirements
This edition of the official syllabus does not state this item.
Equivalent courses and conditions
CB2200 Business Statistics

Official PDF, page 1 · Equivalent Courses

Exclusive courses and conditions
GE2213 Understanding Uncertainty and Statistical Reasoning

Official PDF, page 1 · Exclusive Courses

Assessment and passing the course

Assessment
Continuous Assessment (%): 50; Examination (%): 50; Examination Duration (Hours): 2
View the original assessment table and instructions
ATs             CILO No.             Weighting (%)     Remarks ("-" for   Allow Use of
                                                                                nil entry)         GenAI?
1                        Quizzes         1, 2, 3              20                -                  Yes
2                        Assignments     2, 3, 4              30                -                  No

Official PDF, page 3 · Continuous Assessment (%),Examination (%),Examination Duration (Hours)

Passing requirements
This edition of the official syllabus does not state this item.
Credits, duration and edition details
Title in this edition
Business Statistics

Official PDF, page 1 · Course Title

Credits in this edition
3

Official PDF, page 1 · Credit Units

Course duration
One Semester

Official PDF, page 1 · Course Duration

Syllabus effective term
Semester A 2025/26
Levels printed in the syllabus
B1, B2, B3, B4 - Bachelor's Degree GE Area (Primary) Area 2 - Study of Societies, Social and Business Organisations

Official PDF, page 1 · Level

Check the official document

Read or download this edition through the university link below. GE2262 · Open the original university PDF ↗

Source · University course information ↗ · Checked 2026-10-20T13:54:30.777Z

Study materials

21 readable items

Browse by the material’s own year and type. Historical materials are study references.

21 / 21 items
  • Assignment 1

    Solutions · 2020-2021 Semester A · Local review material · 35 KB

    Material type follows its original classification.

  • Assignment 1 Question (1)

    Solutions · 2020-2021 Semester A · Local review material · 29 KB

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  • Assignment 2

    Solutions · 2020-2021 Semester A · Local review material · 32 KB

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  • Assignment 2 Question

    Solutions · 2020-2021 Semester A · Local review material · 28 KB

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  • Assignment 2 Solution

    Solutions · 2020-2021 Semester A · Local review material · 173 KB

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  • Topic 1 Introduction to Statistics (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 3.1 MB

    Material type follows its original classification.

  • Topic 1 Introduction to Statistics (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 13.0 MB

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  • Topic 2 Basic Probability (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 504 KB

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  • Topic 2 Basic Probability (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 1.4 MB

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  • Topic 3 Discrete & Continuous Probability Distributions (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 945 KB

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  • Topic 3 Discrete & Continuous Probability Distributions (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 3.9 MB

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  • Topic 4 Sampling Distributions (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 661 KB

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  • Topic 4 Sampling Distributions (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 1.6 MB

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  • Topic 5 Confidence Interval Estiamtion (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 1.3 MB

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  • Topic 5 Confidence Interval Estiamtion (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 6.0 MB

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  • Topic 6 Hypothesis Testing (Student)

    Quizzes · Year unknown Term unknown · Local review material · 1.1 MB

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  • Topic 6 Hypothesis Testing (Student)

    Quizzes · Year unknown Term unknown · Local review material · 4.3 MB

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  • Topic 7 Inference for the Proportion (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 1.0 MB

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  • Topic 7 Inference for the Proportion (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 3.1 MB

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  • Topic 8 Simple Linear Regression (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 1.5 MB

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  • Topic 8 Simple Linear Regression (Student)

    Lecture slides · Year unknown Term unknown · Local review material · 8.0 MB

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