Course Code: STAT 101-X

INTRODUCTORY STATISTICS-X

"Face this brand new statistics course with pluck and verve, to make the most of this experience which offers you even more valuable skills that will stay with you throughout your life and from which you stand to gain multiple times more respect and be exposed to real-world statistical challenges. I will be with you from start to end. Bonne chance!’" - Rosie

 

COURSE DESCRIPTION

Both a science and an art, statistics is in our everyday lives, from economics to physics, accountancy to medicine, business to technology, geography to law, social science to politics, a veritable all-embracing giant. No discipline does well that disavows it and eschews it. Though many occupations may not require specialized statistics degrees, they demand at last working understanding of statistics, and able competency with statistical software and results management. 

 

LEARNING GOALS, COURSE OBJECTIVES AND SKILLS DEVELOPMENT

The course gives students an introduction from the basics to mid-level statistics and applications in running analyses through manual means plus Excel, with interpretation through practical cases and examples. 

At the completion of this course, students will:

  • Know the principles and elements of basic statistics
  • Understand the need for data collection and summarize data sets into meaningful information
  • Execute appropriate statistical procedures and write sound interpretations for use in practical decision-making

 

STAT 101-X SCHEDULE

 

The difference between STAT 101 and STAT 101-X, is that for STAT 101-X there is an external partner company students will have to work with.

 

With the external partner company, students will complete a mission project with goals both SMU and the partner agree on, tackling local challenges raised, study, measure and quantify, and raise public awareness. 

 

With students executing fieldwork, the project will be an extremely hands-on exercise, with active mentoring from both the company partner, seniors and the professor, in discussions, tune-ups and recommendations. There will be continuous, fluid flow of exchange of ideas, surveys, results, follow-up throughout. Students will be grouped within the same class, and all working on the same project in different parts of Singapore. 

 

INSTRUCTOR (S)

Rosie Ching

Senior Lecturer of Statistics, School of Economics

Email: rosieching@smu.edu.sg

Offering Term(s):

AY 18/19 Term 1,  
AY 18/19 Term 2,  

PRE-REQUISITE

Introductory Statistics-X students need to achieve at least a B+ at their GCE 'A' Levels or equivalent at polytechnic or IB level to enrol in this course. Introductory Statistics-X students must or are strongly advised to have only this lesson on Wednesday of the term, to allow afternoon free for group discussions, meetings with the professor and special teaching/ research assistant, fieldwork, data collection and data analysis, all in stages.

WHAT STUDENTS SAY ABOUT STAT 101-X

"I am now able to understand what learning outside of class really means and am now finally able to fully comprehend what it means by 'there is so much more than textbooks'."

 

"What we learnt in class can be applied in real life. Many times, usually statistics are very theoretical based. Simply just memorising the formulas and applying to the questions. I often hear fellow students from other classes that their classes are very boring, just numbers and no play. Ms Rosie brings in life lessons, and very interesting teaching ways to spike our interesting in her lessons. And because of that, I am motivated to keep trying and improving. Hence, it taught me that Statistics is useful in life, that many things can be proven with the correct usage. In short, I never have much thoughts that stats is useful back when I was learning in Poly (it's just another mod), until now."

 

"I learnt that stats can really be applied anywhere in real life. By actually analysing the data we collected, I put into practice skills that I learnt in the course. I also learnt that sampling data can be a difficult process and it is imperfect due to various human errors and subjectivity, because we all gauge toilet dirtyness on a different level."

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