In this course's custom textbook-based approach, the course's learning modules comprise chapters from a leading statistics textbook, and two study units developed by HKMU.
Your study pathway through this custom textbook is set out in an HKMU-produced Study Guide. In addition to the guided activities and self-tests already provided in the custom textbook, the Study Guide includes supplementary material and additional self-assessment opportunities. You will also have access to multimedia materials on the OLE, and regular face-to-face meetings for lectures and tutorials.
This course's combination of the latest editions of textbooks, plus the Study Guide, and multimedia and face-to-face learning opportunities, will provide you with a rich coverage of the use of statistics in society.
The third main place you will refer to for learning resources during the course is the OLE. There, you will have access to a rich array of multimedia materials such as lecture PPT slides and online quizzes, and you will be able to discuss topics with other students and your tutor on the course discussion board.
This course is further supported by regular face-to-face meetings for lectures and tutorials.
Introductory video
To start off, you should watch the introductory video for the course in the ePub version of this Course Guide or on the OLE. Then turn to the Study Guide for further guidance through the course.
Summary of study units
The course consists of nine units. The title and a short description of each unit is given below.
- Unit 1 Data analysis and descriptive statistics introduces the idea of statistical data and begins to look at ways of collecting, organizing and summarizing statistical data using graphical presentations and analysis through your add-in Excel software.
- Unit 2 Price index and household income extends the descriptive measures you will have learned in Unit 1. The statistical theme is developed in the context of questions related to price indices and the standard of living in Hong Kong society.
- Unit 3 Measuring chance and probability introduces another aspect of inferential statistics called probability theory. This unit begins with some simple probability concepts. Probabilities enable you to evaluate the uncertainties that our conclusions draw from an entire population. More generally, probability theory provides the mathematical basis for inferential statistics.
- Unit 4 Sampling distribution and confidence intervals discusses the most important distribution in statistics, called the normal distribution. You will work with normally-distributed variables, and assess normal probability plots. This unit's coverage extends to the concepts of sampling error and sampling distribution. You will develop important statistical-inference procedures to examine the sample mean from a population to estimate and to draw conclusions about the entire population.
- Unit 5 Hypothesis tests for one population mean and Unit 6 Hypothesis tests for two population means introduce you to statistical inferences. These units have two basic themes: one is concerned with the processes involved in collecting and using data from scientific and experiments; the other involves the use and interpretation of statistics both by an individual and by society in general. The hypothesis tests for one and two populations will be discussed. You will learn how to apply the critical value and P-value approaches to hypothesis testing. In these two units, both parametric and nonparametric methods will be examined.
- Unit 7 Categorical data analysis deals with inferential statistics that are not concerned with population parameters. Instead, it will focus on the Chi-square distribution. You will learn the chi-square goodness-of-ﬁt test and use the hypothesis test to decide whether a difference exists among the distributions of a variable in two populations.
- Unit 8 Relationships and regression analysis examines the relationships between two or more qualitative variables. Linear regression and correlation coefficients are used to examine relationships between two quantitative variables.
- Unit 9 Surveys and questionnaires extends the concepts you will have first encountered in Unit 1. The application of different sampling methods, including simple random sampling, cluster sampling, stratified sampling, and quota sampling, will be reviewed. The methods for conducting a marketing research survey and for designing an appropriate questionnaire will be discussed.
(An outline of the contents of each unit can be found in Appendix A of this Course Guide.)
The custom textbook
The title of the custom textbook is STAT S242 Statistics in Society. This custom textbook will comprise nine units, of which two units are developed by HKMU. The remaining seven units are adapted from a selected textbook, as set out below.
Textbook title |
Weiss, Neil A (2015) Introductory Statistics, 10th Edition, Arizona State University (ISBN-10:0321989171). |
Units 2 and 9 will be developed by HKMU.
The Study Guide will indicate at which points you should read each chapter and do exercises provided in the custom textbook.
The Study Guide
The Study Guide serves two functions. First, it provides you with information on the aims, learning outcomes, assessment strategies, and means of support for this course. Second, it sets out your study pathway through the customized textbook and other course learning resources, and self-assessment opportunities. You'll therefore need to keep this document by your side as you work through the course.
The Study Guide is divided into seven units. The titles of the units, the textbook chapters and readings they will cover, are set out in the following table.
Unit | Textbook chapters and readings |
Unit 1 | Data analysis and descriptive statistics | Chap. 1 Chap. 2 Chap. 3 | The Nature of Statistics Organizing Data Descriptive Measures |
Unit 3 | Measuring chance and probability | Chap. 4 | Probability Concept |
Unit 4 | Sampling distribution and confidence intervals | Chap. 6 Chap. 7 Chap. 8 | The Normal Distribution The Sampling Distribution of the Sample Mean Confidence Intervals for One Population Mean |
Unit 5 | Hypothesis tests for one population mean | Chap. 9 | Hypothesis Tests for One Population Mean |
Unit 6 | Hypothesis tests for two population means | Chap. 10 | Hypothesis Tests for Two Population Means |
Unit 7 | Categorical data analysis | Chap. 13 | Chi Square Procedures |
Unit 8 | Relationships and regression analysis | Chap. 14 Chap. 15 | Descriptive Methods in Regression and Correlation Inferential Methods in Regression and Correlation |
Note: There is no Study Guide for HKMU-developed Unit 2 and Unit 9.
The Online Learning Environment (OLE)
A dedicated area for STAT S242 students has been set up in HKMU's OLE. You will need to log on regularly to the OLE to access the course discussion board and online supplementary learning components.
Assignment submission and extension
This presentation of STAT S242 OLE includes the following three sub-components related to your assignments:
- Assignment File — all assignment questions will be posted on the OLE.
- Assignment submission and extension. This component allows you to:
- check the status of your assignments;
- submit your assignments;
- check your assignment scores; and
- apply for extensions for late submission.
- Assignment (multiple-choice) Submission — answers to the multiple-choice assignment must be submitted through the Assignment (MC) submission system. No postal mailing is accepted.
Interactive tools
The OLE Interactive Tools includes the course Discussion Board. The Discussion Board allows you to post any problems that you would like to discuss with other students and your tutor. In addition, you can make use of the University email system; you can gain access to it through the OLE. Using it, you can send email to students, tutors, and your Course Coordinator, and receive email from them.
Face-to-face support via lectures and tutorials
You will be supported throughout the course by regular face-to-face meetings in the form of supplementary lectures and tutorials.
There are about 11 supplementary lectures and 11 tutorials provided for this course. All lectures and tutorials will be two-hour sessions, and will be conducted by your assigned tutor.
You should refer to the course schedules for the details on lectures and tutorials arrangements. Although the lectures and tutorials are not compulsory, you are strongly advised to attend.
Unit | Face-to-face sessions | Hours |
1 | Supplementary lecture 1 (2 hours) Supplementary lecture 2 (2 hours) Tutorial 1 (2 hours) | 6 |
| Tutorial 2 (2 hours) – PC Lab Activity | 2 |
2 | Supplementary lecture 3 (2 hours) Tutorial 3 (2 hours) | 4 |
3 | Supplementary lecture 4 (2 hours) Tutorial 4 (2 hours) | 4 |
4 | Supplementary lecture 5 (2 hours) Supplementary lecture 6 (2 hours) Tutorial 5 (2 hours) | 6 |
5 | Supplementary lecture 7 (2 hours) Tutorial 6 (2 hours) | 4 |
6 | Supplementary lecture 8 (2 hours) Tutorial 7 (2 hours) | 4 |
7 | Supplementary lecture 9 (2 hours) Tutorial 8 (2 hours) | 4 |
8 | Supplementary lecture 10 (2 hours) Tutorial 9 (2 hours) | 4 |
9 | Supplementary lecture 11 (2 hours) Tutorial 10 (2 hours) | 4 |
| Tutorial 11 (Revision) | 2 |
Total | | 44 |
Online lecture PPT slides
Each unit will be supported by one or two supplementary lectures. All lecture PPT slides will be available on the OLE for you to study after each session.
Unit | Media resources | Hours |
1 | Lecture 1 PPT slides Lecture 2 PPT slides | 1.5 1.5 |
2 | Lecture 3 PPT slides | 1.5 |
3 | Lecture 4 PPT slides | 1.5 |
4 | Lecture 5 PPT slides Lecture 6 PPT slides | 1.5 1.5 |
5 | Lecture 7 PPT slides | 1.5 |
6 | Lecture 8 PPT slides | 1.5 |
7 | Lecture 9 PPT slides | 1.5 |
8 | Lecture 10 PPT slides | 1.5 |
9 | Lecture 11 PPT slides | 1.5 |
Total | | 16.5 |
Assessment
You are expected to apply concepts and techniques acquired during the study when completing this course's continuous assessment. You will also undertake regular activities and practical exercises while working through the study units.
The course contains continuous assessment and a final examination. Their respective weightings are 30% and 70% of the course score. Continuous assessment consists of five assignments, of which one of them is a multiple-choice assignment. The minimum passing threshold for both continuous assessment and examination is 40 marks out of 100 marks. In order to pass the course, you need to meet both thresholds.
Assignment booklets
The assignment booklets contain more information about which units are covered by each assignment, and when you should submit your assignments. The assignment booklets will be sent to you during the presentation and posted on the OLE for you to download.
Assignment (multiple-choice)
There is one multiple-choice assignment in this course and this contains 20 to 30 multiple-choice questions. This assignment assesses fundamental concepts related to statistical methods and data- handling skills. This assignment is required to be submitted through the Online Assignment (MC) Submission System.
Assignments
There are four summative assignments for the course. The best three out of four assignments will be counted. Upon receiving your assignment, tutors will be required to mark the assignments and return them to you with your scores, comments, and feedback.
Assessment summary
The assessment items and their marks are outlined in the following table.
| Type and coverage | Weighting | Number required |
Continuous assessment (30%) | Assignment (MC) 1 (required): 20–30 multiple-choice questions covering Unit 1 | 25% | 1 (25%) |
Assignment 2 (summative): 3–4 independent problem-solving questions covering Unit 2 and Unit 3 | 25% | Select the best 3 out of 4 assignments (75%) |
Assignment 3 (summative): 3–4 independent problem-solving questions covering Unit 4 and Unit 5 | 25% |
Assignment 4 (summative): 3–4 independent problem-solving questions covering Unit 6 and Unit 7 | 25% |
Assignment 5 (summative): 3–4 independent problem-solving questions covering Unit 8 and Unit 9 | 25% |
Exam (70%) | A three-hour examination covering the whole course | 100% | |
Examination
The purpose of the examination is to assess your understanding of the material covered in the entire course. The three-hour final examination will be 'closed book', with the exception of the Course Formula Booklet and Statistical Tables. The examination is worth 70% of the total course mark. The exam paper will be divided into two parts:
- Part I will contain some short questions that assess your general knowledge of the course material from all units.
- Part II will comprise more challenging long questions based on a problem-solving approach. The questions will assess your skills in statistical analysis and using methods of inferential statistics for the analysis of real-life problems, and in concluding results for recommendation.
Specimen examination
To help you prepare for the final examination, you will be sent a specimen examination paper some time before the actual examination. You should work through this carefully, together with the sample solutions that will be provided.