Course Calender

Course Calender

CUSA1016 Statistical Reasoning and Data Exploration 統計推理及數據探索

Key facts for Summer 2019:

Date:   29, 31 July and 2 August 2019
3 August 2019* (make up class)
Time:   29, 31 July and 2 August 2019: 9:30am – 12:30pm; 2:00 pm – 4:00pm
3 August 2019* : 9:30am – 12:30pm; 2:00 pm – 4:00pm (make-up class)
Tuition Fee:   HKD 2,800.00
Lecturer:   Dr. LEE Pak Kuen Philip
Course Outline:   Download HERE


* This date is reserved for make-up class in case there is any cancellation of classes due to bad weather or other unexpected factors.



This course aims at introducing the ideas of statistical reasoning and understanding the characteristics of data. Students will learn to draw scientific conclusions through hypothesis testing, identify the properties of various statistical studies, and summarize data through scatter plot and contingency table. Through group discussions and computer lab demonstrations, students will learn to assess the reliability of statistical studies appeared in the newspaper articles, and identify possible issues when visualizing the data.



Organising units:
  • Department of Statistics, CUHK
  • Centre for Promoting Science Education, CUHK
Category:   Category II – Academy Credit-Bearing
Learning outcomes:   Upon completion of this course, students should be able to:
  1. Learn about collecting and summarizing the sample data;
  2. Draw scientific conclusions using hypothesis testing;
  3. Identify various types of statistical studies and their properties;
  4. Apply statistical tools to visualize various types of data; and
  5. Identify the misuse of statistics in everyday life.
  This course will lay a solid foundation for the students to start the statistics courses at the university level.
Learning Activities:
  1. Lectures
  2. Lab
Medium of Instruction:   Cantonese supplemented with English
  1. Short answer test or exam
Recognition:   No. of University unit(s) awarded: 1
* Certificate or letter of completion will be awarded to students who attain at least 75% attendance and pass the assessment (if applicable)
Expected applicants:   Students who are studying in S4-S6 with good knowledge in mathematics
Organising period:   Summer 2016; Summer 2018; Summer 2019
Application method:   SAYT Online application